Triple

T21272915
Position Surface form Disambiguated ID Type / Status
Subject Cathedral Range E524311 entity
Predicate contains P35 FINISHED
Object Mount Maclure NE NERFINISHED

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: Mount Maclure | Statement: [Cathedral Range, contains, Mount Maclure]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Maclure
Context triple: [Cathedral Range, contains, Mount Maclure]
  • A. Mount Maclure chosen
    Mount Maclure is a prominent peak in Yosemite National Park’s Sierra Nevada range, known for its rugged alpine terrain and proximity to Mount Lyell.
  • 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 Ord
    Mount Ord is a prominent peak in Western Australia's remote Kimberley region, known as the highest point of the King Leopold Ranges.
  • 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 Keen
    Mount Keen is a prominent Scottish mountain in the Grampian range, known as the most easterly Munro and a popular hiking destination.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b516293c819089458ea2ec85f85e completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e73654ba148190a2eb0a06363cbd0b completed April 21, 2026, 8:33 a.m.
Created at: April 16, 2026, 4:01 p.m.