Triple

T6041346
Position Surface form Disambiguated ID Type / Status
Subject Lake Wakatipu E134551 entity
Predicate hasTownOnShore P969 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: [Lake Wakatipu, hasTownOnShore, Queenstown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Queenstown
Context triple: [Lake Wakatipu, hasTownOnShore, 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 chosen
    Queenstown is a popular resort town in New Zealand renowned for its dramatic alpine scenery and adventure tourism activities.
  • D. Hāwera
    Hāwera is a town in New Zealand known for its dairy industry and as a service and commercial hub in the South Taranaki District.
  • E. Dunedin
    Dunedin is a major coastal city in the South Island of New Zealand, known for its Scottish heritage, historic architecture, and proximity to unique wildlife on the Otago Peninsula.
  • 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_69c00875db5c819099dd5bb833ec43c2 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056d11370819096ac35349bd91f4e completed March 22, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11cfbb4cc81909736d5d041dd0b23 completed March 23, 2026, 10:59 a.m.
Created at: March 22, 2026, 4:08 p.m.