Triple

T36269874
Position Surface form Disambiguated ID Type / Status
Subject SEQU E892639 entity
Predicate IATAcodeStatus P38475 FINISHED
Object withdrawn LITERAL FINISHED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Phrase: withdrawn | Statement: [SEQU, IATAcodeStatus, withdrawn]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: IATAcodeStatus
Context triple: [SEQU, IATAcodeStatus, withdrawn]
  • A. hasIATAcode
    Indicates that an entity, typically a transportation facility like an airport, is associated with a specific IATA (International Air Transport Association) code.
  • B. IATAcode
    Indicates the three-letter IATA airport or airline code assigned to the entity.
  • C. IATAStatus chosen
    Indicates the current operational or membership status of an entity with respect to the International Air Transport Association (IATA).
  • D. hasIATAFunction
    Indicates that an entity has a specific role, status, or function as defined by the International Air Transport Association (IATA).
  • E. ICAOcode
    Indicates that an entity is identified by a specific four-letter airport or aerodrome code assigned by the International Civil Aviation Organization (ICAO).
  • 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_69f76e488f34819083e254dbe288c27a completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7ba6d06f48190a71b5a2f19e2232f completed May 3, 2026, 9:13 p.m.
PD Predicate disambiguation batch_69f7b9a4aad48190a62e41c5e39339d9 completed May 3, 2026, 9:09 p.m.
Created at: May 3, 2026, 4:09 p.m.