Triple

T14215577
Position Surface form Disambiguated ID Type / Status
Subject Vunisea E352339 entity
Predicate hasFacility P105 FINISHED
Object Vunisea Airport E359032 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: Vunisea Airport | Statement: [Vunisea, hasFacility, Vunisea Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vunisea Airport
Context triple: [Vunisea, hasFacility, Vunisea Airport]
  • A. Vunisea Airport chosen
    Vunisea Airport is a small public airport serving the island of Kadavu in Fiji, providing domestic connections primarily to and from the capital, Suva.
  • B. 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.
  • C. Buala Airport
    Buala Airport is a small regional airfield serving the town of Buala on Santa Isabel Island in the Solomon Islands.
  • D. Savusavu Airport
    Savusavu Airport is a small domestic airport serving the town of Savusavu on the Fijian island of Vanua Levu.
  • E. Amausi Airport
    Amausi Airport is the former name of Chaudhary Charan Singh International Airport, the main airport serving Lucknow in the Indian state of Uttar Pradesh.
  • 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_69d8278a06e481908b5d6af0a8afe737 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6210213481908fac6893e8a9f143 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d0cb3f88190813542f95ee360bf completed May 8, 2026, 1:31 a.m.
Created at: April 10, 2026, 1:06 a.m.