Triple

T17509886
Position Surface form Disambiguated ID Type / Status
Subject Macuata E426421 entity
Predicate hasTransportInfrastructure P2560 FINISHED
Object Labasa 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: Labasa Airport | Statement: [Macuata, hasTransportInfrastructure, Labasa Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Labasa Airport
Context triple: [Macuata, hasTransportInfrastructure, Labasa Airport]
  • A. Labasa Airport chosen
    Labasa Airport is a small domestic airport serving the town of Labasa on the Fijian island of Vanua Levu.
  • B. Upolu Airport
    Upolu Airport is a small public airport on the island of Hawaiʻi that serves local and general aviation traffic within the state’s air transportation network.
  • C. 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.
  • D. Ranai Airport
    Ranai Airport is the main civil and military airport serving the remote Natuna Islands in Indonesia’s Riau Islands province.
  • E. Buka Airport
    Buka Airport is a small regional airport serving the town of Buka and surrounding areas in the Autonomous Region of Bougainville, Papua New Guinea.
  • 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_69d889dd9164819087b1dc3c9240c870 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4525b03c48190ada74a7da0f4739c completed April 19, 2026, 3:56 a.m.
Created at: April 10, 2026, 5:48 a.m.