Triple

T36094374
Position Surface form Disambiguated ID Type / Status
Subject TLPC E1044015 entity
Predicate IATAcodeOfAirport P2569 FINISHED
Object SLU 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: SLU | Statement: [TLPC, IATAcodeOfAirport, SLU]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: IATAcodeOfAirport
Context triple: [TLPC, IATAcodeOfAirport, SLU]
  • A. IATAcode
    Indicates the three-letter IATA airport or airline code assigned to the entity.
  • B. ICAOcode
    Indicates that an entity is identified by a specific four-letter airport or aerodrome code assigned by the International Civil Aviation Organization (ICAO).
  • C. airfieldCode
    Indicates that an entity is identified by a specific airfield code used to uniquely reference that airfield.
  • D. icaoCodeType
    Indicates that the relationship specifies or classifies the ICAO (International Civil Aviation Organization) code associated with an entity.
  • E. hasIATAcode chosen
    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_69f76e32d60c8190ba781ffaaab4aa3d completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7b3e2f3c08190be4fd1ae4fa1266d completed May 3, 2026, 8:45 p.m.
PD Predicate disambiguation batch_69f7b1bcc47081909fe7d592ac69006c completed May 3, 2026, 8:36 p.m.
Created at: May 3, 2026, 4:08 p.m.