Triple

T13661964
Position Surface form Disambiguated ID Type / Status
Subject Buala E327018 entity
Predicate servedBy P82 FINISHED
Object Buala Airport E1058827 NE 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: Buala Airport | Statement: [Buala, servedBy, Buala Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buala Airport
Context triple: [Buala, servedBy, Buala Airport]
  • A. Buala Airport chosen
    Buala Airport is a small regional airfield serving the town of Buala on Santa Isabel Island in the Solomon Islands.
  • B. Taree Airport
    Taree Airport is a regional airport in Taree, New South Wales, Australia, serving general aviation and limited commercial flights for the surrounding Mid North Coast area.
  • C. Fitiuta Airport
    Fitiuta Airport is a small public airport serving the island of Taʻū in American Samoa, providing essential air connectivity for local residents and visitors.
  • D. Vunisea Airport
    Vunisea Airport is a small public airport serving the island of Kadavu in Fiji, providing domestic connections primarily to and from the capital, Suva.
  • E. Mauke Airport
    Mauke Airport is a small public airfield serving the island of Mauke in the Cook Islands, providing vital regional air connectivity.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d8076d8270819092afc2f0e9c359a8 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc620df208190afaccf3ddd10aa60 completed April 12, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7b061305881909a9a9bfaa5922225 completed May 3, 2026, 8:30 p.m.
Created at: April 9, 2026, 9:52 p.m.