Triple

T5150478
Position Surface form Disambiguated ID Type / Status
Subject International Cooperation Administration E116179 entity
Predicate shortName P43 FINISHED
Object ICA
The International Cooperation Administration (ICA) was a U.S. government agency responsible for administering foreign economic and technical assistance programs during the 1950s.
 E497206 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: ICA | Statement: [International Cooperation Administration, shortName, ICA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ICA
Context triple: [International Cooperation Administration, shortName, ICA]
  • A. ICA
    ICA is a contemporary art museum in Philadelphia known for its innovative exhibitions and support of emerging artists.
  • B. IC
    IC is a common abbreviation for Iowa City, a university-centered community best known as the home of the University of Iowa and its renowned Writers' Workshop.
  • C. IC
    IC is a category of long-distance passenger trains in Poland, operated by PKP Intercity and offering intercity connections between major cities.
  • D. CI
    CI is the IATA airline designator for China Airlines, the flag carrier of Taiwan.
  • E. CI
    CI is the commonly used abbreviation for California State University Channel Islands, a public university in Camarillo, California.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: ICA
Triple: [International Cooperation Administration, shortName, ICA]
Generated description
The International Cooperation Administration (ICA) was a U.S. government agency responsible for administering foreign economic and technical assistance programs during the 1950s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ICA
Target entity description: The International Cooperation Administration (ICA) was a U.S. government agency responsible for administering foreign economic and technical assistance programs during the 1950s.
  • A. ICA
    ICA is a contemporary art museum in Philadelphia known for its innovative exhibitions and support of emerging artists.
  • B. IC
    IC is a common abbreviation for Iowa City, a university-centered community best known as the home of the University of Iowa and its renowned Writers' Workshop.
  • C. IC
    IC is a category of long-distance passenger trains in Poland, operated by PKP Intercity and offering intercity connections between major cities.
  • D. CI
    CI is the IATA airline designator for China Airlines, the flag carrier of Taiwan.
  • E. CI
    CI is the commonly used abbreviation for California State University Channel Islands, a public university in Camarillo, California.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69bd445d94788190b72e2cc563120995 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd78d7f4d081908d59adcd86f52f1d completed March 20, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed004538c81908fac258ea99f7e63 completed March 21, 2026, 5:06 p.m.
NEDg Description generation batch_69bed07c9cd081908f8246e24b2f6458 completed March 21, 2026, 5:08 p.m.
NED2 Entity disambiguation (via description) batch_69bed103a1088190abca6e7d1fbd9c2b completed March 21, 2026, 5:10 p.m.
Created at: March 20, 2026, 1:44 p.m.