Triple

T6712129
Position Surface form Disambiguated ID Type / Status
Subject Civil Air Transport E153168 entity
Predicate alsoKnownAs P39 FINISHED
Object CAT
CAT was the civilian airline operated by the CIA in East Asia during the early Cold War, later becoming known as Air America.
E613135 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: [Civil Air Transport, alsoKnownAs, CAT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CAT
Context triple: [Civil Air Transport, alsoKnownAs, CAT]
  • A. CAT
    The Committee for Advanced Therapies is a scientific body within the European Medicines Agency responsible for assessing advanced therapy medicinal products such as gene, cell, and tissue-engineered therapies.
  • 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
    The Committee against Torture (CAT) is a United Nations body of independent experts that monitors implementation of the Convention against Torture and other cruel, inhuman or degrading treatment or punishment by its State parties.
  • E. CATS
    CATS is the public transit agency serving the Charlotte, North Carolina metropolitan area, operating bus, light rail, and other transportation services.
  • 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: [Civil Air Transport, alsoKnownAs, CAT]
Generated description
CAT was the civilian airline operated by the CIA in East Asia during the early Cold War, later becoming known as Air America.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: CAT
Target entity description: CAT was the civilian airline operated by the CIA in East Asia during the early Cold War, later becoming known as Air America.
  • A. CAT
    The Committee for Advanced Therapies is a scientific body within the European Medicines Agency responsible for assessing advanced therapy medicinal products such as gene, cell, and tissue-engineered therapies.
  • B. CAT
    The Committee against Torture (CAT) is a United Nations body of independent experts that monitors implementation of the Convention against Torture and other cruel, inhuman or degrading treatment or punishment by its State parties.
  • C. CAT
    CAT is a globally recognized industrial brand best known for its heavy construction machinery, engines, and rugged workwear.
  • D. CAT
    CAT is the National Rail station code for Caterham railway station in Surrey, England.
  • E. CATS
    CATS is the public transit agency serving the Charlotte, North Carolina metropolitan area, operating bus, light rail, and other transportation services.
  • 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_69c68808d8d8819087369015270788fe completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d108acc08190b38b43161d8912b9 completed March 27, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c700924fdc8190990187fbc1b3ab20 completed March 27, 2026, 10:11 p.m.
NEDg Description generation batch_69c70386196c81909d46894f783ef87a completed March 27, 2026, 10:24 p.m.
NED2 Entity disambiguation (via description) batch_69c7045cda0481908982c7c7e8dc11e5 completed March 27, 2026, 10:27 p.m.
Created at: March 27, 2026, 2:07 p.m.