Triple

T28186857
Position Surface form Disambiguated ID Type / Status
Subject ZIPAIR Tokyo E716202 entity
Predicate IATAairlineCode P78299 FINISHED
Object ZG NE NERFINISHED

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: ZG | Statement: [ZIPAIR Tokyo, IATAairlineCode, ZG]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: IATAairlineCode
Context triple: [ZIPAIR Tokyo, IATAairlineCode, ZG]
  • A. IATAcode
    Indicates the three-letter IATA airport or airline code assigned to the entity.
  • B. operatingAirlineIATACode chosen
    Indicates the IATA airline code of the carrier that is actually operating the flight or air service.
  • C. hasIATAcode
    Indicates that an entity, typically a transportation facility like an airport, is associated with a specific IATA (International Air Transport Association) code.
  • D. ICAOcode
    Indicates that an entity is identified by a specific four-letter airport or aerodrome code assigned by the International Civil Aviation Organization (ICAO).
  • E. airlineICAOcallsign
    Indicates the official ICAO radio callsign phrase used to identify a specific airline in air traffic communications.
  • F. None of above.

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_69efd6b4fc5c81909dd88f01a8c2b35d completed April 27, 2026, 9:35 p.m.
NER Named-entity recognition batch_69f64286c11c81909ee026bd8fbc2baf completed May 2, 2026, 6:29 p.m.
PD Predicate disambiguation batch_69f63c6c1a948190b68c0f92c264cc0c completed May 2, 2026, 6:03 p.m.
Created at: April 27, 2026, 10:23 p.m.