Triple

T4208589
Position Surface form Disambiguated ID Type / Status
Subject Air France Flight 447 E93840 entity
Predicate operatorICAOCode P26821 FINISHED
Object AFR E94319 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: AFR | Statement: [Air France Flight 447, operatorICAOCode, AFR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AFR
Context triple: [Air France Flight 447, operatorICAOCode, AFR]
  • A. AFR chosen
    AFR is the ICAO airline designator used to identify Air France flights in international aviation operations.
  • B. AFR
    AFR is the USAID Bureau for Africa, the division responsible for planning and managing U.S. development and humanitarian assistance programs across the African continent.
  • C. 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.
  • D. AFT
    AFT is a major American labor union representing teachers and other education professionals across the United States.
  • E. AFRF
    AFRF is the commonly used English abbreviation for the Russian Armed Forces, the military organization responsible for the defense and security of the Russian Federation.
  • 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_69b3451743608190808f41d17ccf2650 completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b3480f80208190b08ca6ccfe9c41f6 completed March 12, 2026, 11:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5962bb63c81909e28a958323edb82 completed March 14, 2026, 5:08 p.m.
Created at: March 12, 2026, 11:03 p.m.