Triple

T19438762
Position Surface form Disambiguated ID Type / Status
Subject Diamond Peak E486295 entity
Predicate offersViewOf P3821 FINISHED
Object Mount Bachelor 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 Bachelor | Statement: [Diamond Peak, offersViewOf, Mount Bachelor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Bachelor
Context triple: [Diamond Peak, offersViewOf, Mount Bachelor]
  • A. Mount Bachelor chosen
    Mount Bachelor is a prominent volcanic peak in central Oregon known for its large ski resort and extensive winter recreation opportunities.
  • B. White Mountain Peak
    White Mountain Peak is a prominent mountain in eastern California’s White Mountains and one of the highest summits in the state, known for its alpine environment and research observatory.
  • C. Mount Gardner
    Mount Gardner is a prominent mountain peak located within the Sentinel Range of the Ellsworth Mountains in Western Antarctica.
  • D. Mount Cushman
    Mount Cushman is a small mountain in Thornton, New Hampshire, known as the town’s highest natural elevation point within the White Mountains region.
  • E. Mount Marshall
    Mount Marshall is a High Peaks mountain in New York’s Adirondack range, popular with hikers for its remote, rugged terrain and scenic wilderness surroundings.
  • 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_69d8e8d7ad488190a3373045029b0f3b completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633637ea48190bfa36b0b0a2762bc completed April 20, 2026, 2:08 p.m.
Created at: April 10, 2026, 1:38 p.m.