Output Explorer

Every prompt in the paper, and what each model wrote back.

Extract seven entity types from one sentence of financial news as JSON. Scored per field against the Cleanlab reference.

13 of 2,117 prompts

Also , the Canadian government has requirements limiting foreign ownership of certain telecommunications facilities in Canada .The Canadian branch office was closed during the fourth quarter of 2012 .Proceeds from the 2004 Notes were used to pay off the then - outstanding commercial paper and $ 100 million was used to obtain ownership of First Clover Leaf Bank General We conduct our business through our four branch offices located in Edwardsville and Wood River , Illinois .We also maintain a small regional facility in Singapore .Our plan investments are broadly diversified and we do not anticipate a near - term requirement to make cash contributions to our U.S. pensi Ashford University and the University of the Rockies have campuses in , are incorporated in , and have business operations , administration Allscripts has growing partnerships with retail health clinics in the United States .In Europe , our primary servers are hosted in a fully - secured , top - tier , third - party server center located in the United Kingdom and At the same time , the Company entered into an operating lease for new office facilities in Campinas , Brazil .We distribute the majority of our products sold to our North American wholesale customers and our own retail stores from distribution center The Company made draws of $ 8.9 million on this construction loan ; The Company closed on a $ 22.8 million construction loan to fund the con By comparison , a number of our large public competitors have in excess of 100 offices worldwide and some have nearly 100 in the U.S alone .

Nearby prompts. All 2,117 FIRE entities prompts

PromptCleanlab FIRE ·fire-1898

Ashford University and the University of the Rockies have campuses in , are incorporated in , and have business operations , administration and leadership in Iowa and Colorado , respectively , both of which states are located in the north central region .

Extraction instructions · system prompt, 2,489 characters, identical for every model

Identify and extract entities from the following financial news text into the following categories:

Entity 1: Company 
⋆ Definition: Denotes the official or unofficial name of a registered company or a brand.
⋆ Example entities: {Apple Inc.; Uber; Bank of America}

Entity 2: Date 
⋆ Definition: Represents a specific time period, whether explicitly mentioned (e.g., "year ended March 2020") or implicitly referred to (e.g., "last month"), in the past, present, or future.
⋆ Example entities: {June 2nd, 2010; quarter ended 2021; last week; prior year; Wednesday}

Entity 3: Location 
⋆ Definition: Represents geographical locations, such as political regions, countries, states, cities, roads, or any other location, even when used as adjectives.
⋆ Example entities: {California; Paris; 1280 W 12th Blvd; Americas; Europe}

Entity 4: Money 
⋆ Definition: Denotes a monetary value expressed in any world currency, including digital currencies.
⋆ Example entities: {$76.3 million; $4 Bn; Rs 33.80 crore; 1.2 BTC}

Entity 5: Person 
⋆ Definition: Represents the name of an individual.
⋆ Example entities: {Meg Whitman; Mr. Baker; Warren Buffet}

Entity 6: Product 
⋆ Definition: Refers to any physical object or service manufactured or provided by a company to consumers, excluding references to businesses or sectors within the financial context.
⋆ Example entities: {iPhone; Tesla model X; cloud services; Microsoft Windows 10; laptops; medical equipment; computer software; online classes; eye surgery}

Entity 7: Quantity 
⋆ Definition: Represents any numeric value that is not categorized as Money, such as percentages, numbers, measurements (e.g., weight, length), or other similar quantities. Note that unit of measurements are also part of the entity.
⋆ Example entities: {15%; 25,000 units; 2.75in; 100 tons}

For each category:
- Extract all relevant entities as a list of strings, preserving the wording from the text
- Use None if no entities are found in that category
- Only extract entities that are explicitly mentioned in the text itself, do not make inferences or reason about what entities might be implied based on URLs, domain names, or other indirect references
- Extract individual items rather than compound or ranged entities (e.g., if a range or compound entity is mentioned, extract each individual item separately)

Return the extracted information as a JSON object with all categories included, using None for cases where no entities are found.

Expected answer

Company: Ashford University; University of the Rockies
Date: none
Location: Colorado; north central region; Iowa
Money: none
Person: none
Product: none
Quantity: none

Ours

All 7 fields correct

```json
{
  "Entity 1: Company": null,
  "Entity 2: Date": null,
  "Entity 3: Location": ["Ashford University", "the University of the Rockies", "north central region"],
  "Entity 4: Money: null,
Entity5 Person: nuil,
  "Entity 6: Product: nuil,
  "Entity 7: Quantity: nuil
"]
```

Aux 2015

Invalid JSON

{
  "Entity 1":

PiT-FT 2015

Invalid JSON

Empty response.

ChronoGPT 2015

Invalid JSON