Triple

T4565860
Position Surface form Disambiguated ID Type / Status
Subject CYOW E121906 entity
Predicate hasICAORegionPrefix P49384 FINISHED
Object C 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: C | Statement: [CYOW, hasICAORegionPrefix, C]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasICAORegionPrefix
Context triple: [CYOW, hasICAORegionPrefix, C]
  • A. ICAOTypeDesignator
    Indicates the standardized aircraft type code assigned by ICAO that specifies the model or family of an aircraft used in aviation operations and documentation.
  • B. hasAirportCodePrefix chosen
    Indicates that an airport’s code begins with a specified sequence of characters.
  • C. previousICAOcode
    Indicates that one entity was the former ICAO (International Civil Aviation Organization) code previously assigned to the other entity.
  • 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. hasIATAcode
    Indicates that an entity, typically a transportation facility like an airport, is associated with a specific IATA (International Air Transport Association) code.
  • 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_69bd463f156881908a99aca69c5721ac completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd589cde9081909b84186d700fc463 completed March 20, 2026, 2:24 p.m.
PD Predicate disambiguation batch_69bd52254c648190a5144cfe8fa7e409 completed March 20, 2026, 1:56 p.m.
Created at: March 20, 2026, 1:09 p.m.