Triple

T22312886
Position Surface form Disambiguated ID Type / Status
Subject Club Atlético Tucumán E551564 entity
Predicate abbreviation P43 FINISHED
Object CAT
CAT is the commonly used abbreviation for Club Atlético Tucumán, an Argentine sports club best known for its professional football team.
E1530165 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: CAT | Statement: [Club Atlético Tucumán, abbreviation, CAT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CAT
Context triple: [Club Atlético Tucumán, abbreviation, CAT]
  • A. CAT
    CAT is a branded express rail service that connects Vienna International Airport with the city center quickly and comfortably.
  • B. CAT
    CAT is a globally recognized industrial brand best known for its heavy construction machinery, engines, and rugged workwear.
  • C. CAT
    CAT is the National Rail station code for Caterham railway station in Surrey, England.
  • D. CAT
    CAT was the civilian airline operated by the CIA in East Asia during the early Cold War, later becoming known as Air America.
  • E. CAT
    CAT is a highly competitive national-level entrance examination in India used for admission to postgraduate management programs such as MBAs at premier institutes.
  • 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: CAT
Triple: [Club Atlético Tucumán, abbreviation, CAT]
Generated description
CAT is the commonly used abbreviation for Club Atlético Tucumán, an Argentine sports club best known for its professional football team.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: CAT
Target entity description: CAT is the commonly used abbreviation for Club Atlético Tucumán, an Argentine sports club best known for its professional football team.
  • A. CAT
    CAT is a globally recognized industrial brand best known for its heavy construction machinery, engines, and rugged workwear.
  • B. CAT
    CAT is a branded express rail service that connects Vienna International Airport with the city center quickly and comfortably.
  • C. CAT
    CAT is the National Rail station code for Caterham railway station in Surrey, England.
  • D. CAT
    CAT was the civilian airline operated by the CIA in East Asia during the early Cold War, later becoming known as Air America.
  • E. CAT
    CAT is a highly competitive national-level entrance examination in India used for admission to postgraduate management programs such as MBAs at premier institutes.
  • 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_69e11e4776588190abb21e5cea79973f completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15750f76c81909d6f788928f503f1 completed April 29, 2026, 12:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0acca5f74c81908ef720575ee5c37b completed May 18, 2026, 8:24 a.m.
NEDg Description generation batch_6a0acf417a8881909f9c5f25334f4e95 completed May 18, 2026, 8:35 a.m.
NED2 Entity disambiguation (via description) batch_6a0ad00004688190bef5a507972ec7d2 completed May 18, 2026, 8:38 a.m.
Created at: April 16, 2026, 8:42 p.m.