Triple

T17477583
Position Surface form Disambiguated ID Type / Status
Subject Bình Định province E425577 entity
Predicate hasAirport P105 FINISHED
Object Phù Cát Airport 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: Phù Cát Airport | Statement: [Bình Định province, hasAirport, Phù Cát Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phù Cát Airport
Context triple: [Bình Định province, hasAirport, Phù Cát Airport]
  • A. Phù Cát Airport chosen
    Phù Cát Airport is a regional airport in Bình Định Province, Vietnam, serving the coastal city of Quy Nhơn and the surrounding area.
  • B. Palam Airport
    Palam Airport is the former name and original airfield of Delhi’s main international airport, now known as Indira Gandhi International Airport.
  • C. Diffa Airport
    Diffa Airport is a small public airport serving the town and surrounding region of Diffa in southeastern Niger.
  • D. Tari Airport
    Tari Airport is a regional airfield serving the town of Tari and surrounding areas in Hela Province, Papua New Guinea.
  • E. Tambolaka Airport
    Tambolaka Airport is a regional airport serving the western part of Sumba Island in East Nusa Tenggara, Indonesia, providing domestic connections to major Indonesian cities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889dbc2e88190b18ea6115e819258 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451bd865081909b5f84405c40ff14 completed April 19, 2026, 3:53 a.m.
Created at: April 10, 2026, 5:47 a.m.