Triple

T20689322
Position Surface form Disambiguated ID Type / Status
Subject Rukuhia E508506 entity
Predicate locatedNear P294 FINISHED
Object Hamilton 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: Hamilton Airport | Statement: [Rukuhia, locatedNear, Hamilton Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hamilton Airport
Context triple: [Rukuhia, locatedNear, Hamilton Airport]
  • A. Hamilton Airport
    Hamilton Airport is the former name of John C. Munro Hamilton International Airport, a regional airport serving the Hamilton area in Ontario, Canada.
  • B. Hamilton Airport chosen
    Hamilton Airport is a regional airport in New Zealand serving the city of Hamilton and the surrounding Waikato region on the North Island.
  • C. Hamilton Airport
    Hamilton Airport is a regional public airport serving the town of Hamilton and the surrounding Western District of Victoria, Australia.
  • D. Wilson Airport
    Wilson Airport is a busy domestic and regional airport in Nairobi, Kenya, serving general aviation, charter flights, and short-haul passenger services.
  • E. Clark International Airport
    Clark International Airport is a major Philippine international gateway located in Pampanga on the island of Luzon, serving the Greater Manila Area and central and northern Luzon.
  • 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_69e0b4c1ed408190b72dd26b1e33f8a1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6c10b7b808190bdb8b08e53168fb8 completed April 21, 2026, 12:12 a.m.
Created at: April 16, 2026, 11:56 a.m.