Triple

T18982337
Position Surface form Disambiguated ID Type / Status
Subject IFLY E464459 entity
Predicate operatorICAOcode P84521 FINISHED
Object IGO LITERAL 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: IGO | Statement: [IFLY, operatorICAOcode, IGO]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: operatorICAOcode
Context triple: [IFLY, operatorICAOcode, IGO]
  • A. ICAOcode
    Indicates that an entity is identified by a specific four-letter airport or aerodrome code assigned by the International Civil Aviation Organization (ICAO).
  • B. airlineICAOcallsign
    Indicates the official ICAO radio callsign phrase used to identify a specific airline in air traffic communications.
  • C. IATAcode
    Indicates the three-letter IATA airport or airline code assigned to the entity.
  • D. icaoCodeType chosen
    Indicates that the relationship specifies or classifies the ICAO (International Civil Aviation Organization) code associated with an entity.
  • E. isCivilAviationCode
    Indicates that a given code is designated as a civil aviation identifier for an airline, airport, or related aviation entity.
  • 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_69d8dd008af48190a97ff1c6488edf1b completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d65d27548190b86d4c5f5b51d809 completed April 20, 2026, 7:31 a.m.
PD Predicate disambiguation batch_69e4a2f437648190b85650dae8885d48 completed April 19, 2026, 9:40 a.m.
Created at: April 10, 2026, 12:01 p.m.