Triple

T14444076
Position Surface form Disambiguated ID Type / Status
Subject AFCCA E358158 entity
Predicate abbreviation P43 FINISHED
Object AFCCA E358158 NE FINISHED

How this triple was built (2 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: AFCCA | Statement: [AFCCA, abbreviation, AFCCA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AFCCA
Context triple: [AFCCA, abbreviation, AFCCA]
  • A. AFCCA chosen
    AFCCA is the intermediate appellate court of the United States Air Force that reviews courts-martial convictions for legal and factual sufficiency.
  • B. CCAF
    CCAF is a federally chartered, degree-granting institution that provides enlisted members of the U.S. Air Force and Space Force with accredited associate in applied science degrees and professional military education.
  • C. AFAC
    AFAC is Mexico’s Federal Civil Aviation Agency responsible for regulating and overseeing civil aviation activities in the country.
  • D. CCFC
    CCFC is the commonly used abbreviation for Cardiff City Football Club, a professional football team based in Cardiff, Wales.
  • E. AFA
    AFA is the IATA airport code for San Rafael's main airport in Mendoza Province, Argentina.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d82794dfa081909b9134ad2e32244b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de915e76f481909fe9462f964b5b1c completed April 14, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bdd0f388190870ddd01f66d3e99 completed May 8, 2026, 3:43 a.m.
Created at: April 10, 2026, 1:19 a.m.