Triple

T3177432
Position Surface form Disambiguated ID Type / Status
Subject ANC E66497 entity
Predicate abbreviation P43 FINISHED
Object ANC unclear NED1 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: ANC | Statement: [ANC, abbreviation, ANC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ANC
Context triple: [ANC, abbreviation, ANC]
  • A. ANC
    ANC is the commonly used abbreviation for the Air Navigation Commission, a technical body of the International Civil Aviation Organization responsible for developing global aviation standards and recommended practices.
  • B. ANC
    ANC is the unified tri-service military command of India responsible for the defense and security of the Andaman and Nicobar Islands.
  • C. ANC
    The ANC is South Africa's dominant political party and former liberation movement that led the struggle against apartheid and has governed the country since 1994.
  • D. ANA
    ANA is the Portuguese company responsible for managing and operating the main airports in Portugal.
  • E. ANA
    ANA is the standard three-letter abbreviation used for the Anaheim Ducks, a professional ice hockey team in the National Hockey League.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69ad8586a34c8190944c63ec11a8de1a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada69c2edc81908bfd23a1d5ce970e completed March 8, 2026, 4:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69b235f5ace88190b6bd16ec240240c0 completed March 12, 2026, 3:41 a.m.
Created at: March 8, 2026, 3:06 p.m.