Triple

T16390965
Position Surface form Disambiguated ID Type / Status
Subject Queenstown Airport E398048 entity
Predicate cityServed P82 FINISHED
Object Queenstown E139271 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: Queenstown | Statement: [Queenstown Airport, cityServed, Queenstown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Queenstown
Context triple: [Queenstown Airport, cityServed, Queenstown]
  • A. Queenstown
    Queenstown is a small historic mining town on Tasmania’s rugged west coast, known for its dramatic landscapes and proximity to wilderness areas.
  • B. Queenstown chosen
    Queenstown is a popular resort town in New Zealand renowned for its dramatic alpine scenery and adventure tourism activities.
  • C. Queenstown
    Queenstown is the former English name of the Irish port town now known as Cobh, historically significant as a major transatlantic departure point.
  • D. Queenstown
    Queenstown is an electoral ward in the London Borough of Wandsworth, covering part of the Battersea area in southwest London.
  • E. Twizel
    Twizel is a small town in New Zealand's Mackenzie District, known as a gateway to outdoor activities such as hiking, fishing, and stargazing in the surrounding alpine and lake landscapes.
  • 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e326425c8081908cacffcfa8c7386b completed April 18, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004579d9a88190b353952c5c301e9f completed May 10, 2026, 8:44 a.m.
Created at: April 10, 2026, 5:08 a.m.