Triple

T13007220
Position Surface form Disambiguated ID Type / Status
Subject Airnorth E322318 entity
Predicate hasFocusCity P1295 FINISHED
Object Gove Airport E382299 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: Gove Airport | Statement: [Airnorth, hasFocusCity, Gove Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gove Airport
Context triple: [Airnorth, hasFocusCity, Gove Airport]
  • A. Gove Airport chosen
    Gove Airport is a regional airport serving the town of Nhulunbuy and the surrounding Gove Peninsula in the Northern Territory of Australia.
  • B. Totegegie Airport
    Totegegie Airport is the main air gateway serving the remote Gambier Islands in French Polynesia, providing vital connections to other parts of the territory.
  • C. Inyokern Airport
    Inyokern Airport is a public airport in Kern County, California, primarily serving the Ridgecrest area and the surrounding high desert communities.
  • D. Bunbury Airport
    Bunbury Airport is a regional airfield serving the city of Bunbury and the surrounding area in Western Australia.
  • E. Choiseul Bay Airport
    Choiseul Bay Airport is a small regional airfield serving Choiseul Province in the Solomon Islands, providing vital air connectivity for local residents and visitors.
  • 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_69d807657e8c8190bd9435ee2f823845 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e9b27ec8190815c40a05b9ba7d0 completed April 10, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ead058ac819091b13ddd25067869 completed May 3, 2026, 6:27 a.m.
Created at: April 9, 2026, 8:48 p.m.