Triple

T4125467
Position Surface form Disambiguated ID Type / Status
Subject Tararua Range E92713 entity
Predicate containsPeak P8205 FINISHED
Object Mitre E416465 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: Mitre | Statement: [Tararua Range, containsPeak, Mitre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mitre
Context triple: [Tararua Range, containsPeak, Mitre]
  • A. Mitre chosen
    Mitre is a prominent mountain peak in New Zealand’s Tararua Range, noted for being the range’s highest summit and a popular destination for experienced trampers.
  • B. Mulhousien
    Mulhousien is the French term for an inhabitant or native of the city of Mulhouse in northeastern France.
  • C. Metter
    The Metter is a river in Germany that flows through the state of Baden-Württemberg and ultimately joins the Enz River.
  • D. Savoy
    Savoy was a historically significant duchy and later kingdom in Western Europe, centered in the Alpine region between France and Italy, that played a key role in European power politics and the unification of Italy.
  • E. Gsell
    Gsell is a surname of Germanic origin borne by various notable individuals, including artists, scholars, and public figures.
  • 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_69aed9685f70819086932777aec8d959 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69af020a015081909015e6837c4b4a73 completed March 9, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b57f256abc819086cd464be1a9efbf completed March 14, 2026, 3:30 p.m.
Created at: March 9, 2026, 3:41 p.m.