Triple

T25812234
Position Surface form Disambiguated ID Type / Status
Subject Maguwo Airfield E650142 entity
Predicate originalAirportFor P81616 FINISHED
Object Yogyakarta 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: Yogyakarta | Statement: [Maguwo Airfield, originalAirportFor, Yogyakarta]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: originalAirportFor
Context triple: [Maguwo Airfield, originalAirportFor, Yogyakarta]
  • A. originAirportHub
    Indicates that the referenced airport serves as a primary hub or main operating base for the associated airline or carrier.
  • B. originAirportICAO
    Indicates the airport, identified by its ICAO code, from which a flight or journey departs.
  • C. originAirportWhenMissing
    Indicates the airport that should be treated as the origin when the actual origin airport information is missing.
  • D. previousPrimaryAirportFor chosen
    Indicates that one airport was formerly the main or primary airport serving a particular location or entity before being replaced by another.
  • E. hasOriginAirport
    Indicates that something, typically a flight or journey, departs from or is associated with a specific origin 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_69f791cc969c8190bf187d6031a030d5 completed May 3, 2026, 6:19 p.m.
PD Predicate disambiguation batch_69f791033d288190b118029fe412b9c9 completed May 3, 2026, 6:16 p.m.
Created at: April 22, 2026, 7:11 a.m.