Triple

T116169
Position Surface form Disambiguated ID Type / Status
Subject Great Dividing Range E2342 entity
Predicate contains P35 FINISHED
Object Australian Alps E12612 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: Australian Alps | Statement: [Great Dividing Range, contains, Australian Alps]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Australian Alps
Context triple: [Great Dividing Range, contains, Australian Alps]
  • A. Snowy Mountains chosen
    The Snowy Mountains are a prominent alpine region in southeastern Australia known for the continent’s highest peak, winter snowfields, and the Snowy Hydro Scheme.
  • B. Mount Kosciuszko
    Mount Kosciuszko is the tallest mountain in mainland Australia, located in the Snowy Mountains of New South Wales.
  • C. Himalayas
    The Himalayas are a vast mountain range in Asia, home to many of the world’s highest peaks including Mount Everest, and form a natural barrier between the Indian subcontinent and the Tibetan Plateau.
  • D. Ore Mountains
    The Ore Mountains are a mountain range along the German-Czech border known for their historic mining industry and traditional Christmas folk art.
  • E. Jura Mountains
    The Jura Mountains are a sub-alpine mountain range in Western Europe known for their forested limestone ridges, karst landscapes, and role as a natural boundary between France and Switzerland.
  • 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_69a2506c5428819085c28a8884790e29 completed Feb. 28, 2026, 2:18 a.m.
NER Named-entity recognition batch_69a256f1278881909dc9c17113d2cca2 completed Feb. 28, 2026, 2:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2a3d459888190ab08a6afdec37d71 completed Feb. 28, 2026, 8:14 a.m.
Created at: Feb. 28, 2026, 2:24 a.m.