Triple

T25812281
Position Surface form Disambiguated ID Type / Status
Subject WIJJ E650143 entity
Predicate linkedAirportCivilUse P20696 FINISHED
Object yes 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: yes | Statement: [WIJJ, linkedAirportCivilUse, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: linkedAirportCivilUse
Context triple: [WIJJ, linkedAirportCivilUse, yes]
  • A. isCivilAirport chosen
    Indicates that an airport is designated and used primarily for civilian (non-military) aviation operations.
  • B. airportUse
    Indicates that an airport is used or utilized by a particular entity, such as an airline, organization, or service.
  • C. openedAsCivilAirport
    Indicates that a facility or location began operation specifically as a civil (non-military) airport.
  • D. airportServesMilitaryTraffic
    Indicates that the airport accommodates or handles military air traffic in addition to any other types of traffic.
  • E. airportRole
    Indicates that an entity serves a specific functional role or capacity within the context of an airport.
  • 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_69e7ab35d264819095367f7e80c983ff completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f6a28c7c148190bfc980aad9f678ca completed May 3, 2026, 1:19 a.m.
PD Predicate disambiguation batch_69f69fe1e3c88190830bb2e9f407357e completed May 3, 2026, 1:07 a.m.
Created at: April 22, 2026, 7:11 a.m.