Triple

T16206697
Position Surface form Disambiguated ID Type / Status
Subject R61 route E393345 entity
Predicate passesThrough P225 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: [R61 route, passesThrough, Queenstown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Queenstown
Context triple: [R61 route, passesThrough, 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
    Queenstown is an electoral ward in the London Borough of Wandsworth, covering part of the Battersea area in southwest London.
  • 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 chosen
    Queenstown is a popular resort town in New Zealand renowned for its dramatic alpine scenery and adventure tourism activities.
  • 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_69d87f1f5bd08190bd01cac0d5b9d2ef completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e227101a3c819095ef40e50bf66433 completed April 17, 2026, 12:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00078fa2ac8190a0a2cf38bc41498d completed May 10, 2026, 4:20 a.m.
Created at: April 10, 2026, 5:03 a.m.