Triple

T6366267
Position Surface form Disambiguated ID Type / Status
Subject Kahurangi National Park E143236 entity
Predicate highestPoint P210 FINISHED
Object Mt Owen E634396 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: Mt Owen | Statement: [Kahurangi National Park, highestPoint, Mt Owen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mt Owen
Context triple: [Kahurangi National Park, highestPoint, Mt Owen]
  • A. Mt Owen chosen
    Mt Owen is a prominent limestone mountain in New Zealand’s South Island, noted for its extensive karst landscapes and cave systems.
  • B. Mount Owen
    Mount Owen is a prominent high peak in Wyoming’s Teton Range, known for its rugged alpine terrain and challenging climbing routes.
  • C. Mount Ousley
    Mount Ousley is a suburb of Wollongong in New South Wales, Australia, known primarily as a residential area situated near major transport routes through the Illawarra region.
  • D. Mount Brooker
    Mount Brooker is a prominent mountain peak located within the Allardyce Range on the sub-Antarctic island of South Georgia.
  • E. Mount Hunter
    Mount Hunter is a prominent, heavily glaciated peak in Alaska known for its steep faces and challenging alpine climbing routes.
  • 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_69c008d8c61081908bcaf61510d881ed completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c068106e18819087ed2e9841d2b365 completed March 22, 2026, 10:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c77510f80c81908fe7784bdaa640c5 completed March 28, 2026, 6:28 a.m.
Created at: March 22, 2026, 4:32 p.m.