Triple

T9994052
Position Surface form Disambiguated ID Type / Status
Subject A Union of Professionals E196955 entity
Predicate usedBy P260 FINISHED
Object AFT E196954 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: AFT | Statement: [A Union of Professionals, usedBy, AFT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AFT
Context triple: [A Union of Professionals, usedBy, AFT]
  • A. AFT chosen
    AFT is a major American labor union representing teachers and other education professionals across the United States.
  • B. AFT
    AFT is the standard time zone used throughout Afghanistan, offset by UTC+4:30.
  • C. AFET
    AFET is the abbreviation for the European Parliament’s Committee on Foreign Affairs, which is responsible for shaping and overseeing the EU’s external policies and international relations.
  • D. AFT Voices
    AFT Voices is a publication of the American Federation of Teachers that highlights stories, perspectives, and issues affecting educators, students, and public education.
  • E. AFB
    AFB is the commonly used abbreviation for the Belgian Armed Forces, the military organization responsible for Belgium’s national defense and international military commitments.
  • 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_69ca82f1678c819093d06320a05f16a4 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdcb982d5c81909779c6e9d780b399 completed April 2, 2026, 1:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69d281f6bd5081908c50cc22280ce6a0 completed April 5, 2026, 3:38 p.m.
Created at: March 30, 2026, 8:50 p.m.