Triple

T12406758
Position Surface form Disambiguated ID Type / Status
Subject Naples Municipal Airport E296406 entity
Predicate FAAIdentifier P420 FINISHED
Object APF E980796 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: APF | Statement: [Naples Municipal Airport, FAAIdentifier, APF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: APF
Context triple: [Naples Municipal Airport, FAAIdentifier, APF]
  • A. APF
    APF is the commonly used acronym for the Parliamentary Assembly of La Francophonie, an international organization that brings together parliamentarians from French-speaking countries to promote the French language, democracy, and human rights.
  • B. APF chosen
    APF is the IATA airport code for Naples Municipal Airport, a public airport serving Naples, Florida.
  • C. APF
    APF is the acronym for the Asociación Paraguaya de Fútbol, the governing body of professional and amateur football in Paraguay.
  • D. APG
    APG is the ICAO airline designator used to identify Philippines AirAsia in international aviation operations and communications.
  • E. APG
    APG is the commonly used abbreviation for the Asian Para Games, a major multi-sport event for athletes with disabilities from across Asia.
  • 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_69d6ad9f464c81909db36d7e96e34b9e completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d4a08e0819085c656e35038e6b2 completed April 10, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63efe60388190944fe3226be4cc7c completed May 2, 2026, 6:14 p.m.
Created at: April 8, 2026, 9:55 p.m.