Triple

T17080390
Position Surface form Disambiguated ID Type / Status
Subject Central Colorado Rockies E414454 entity
Predicate contains P35 FINISHED
Object Mount Massive 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 Massive | Statement: [Central Colorado Rockies, contains, Mount Massive]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Massive
Context triple: [Central Colorado Rockies, contains, Mount Massive]
  • A. Mount Massive chosen
    Mount Massive is one of the highest peaks in the Rocky Mountains of Colorado, known for its broad, multi-summit ridgeline and status as a prominent “fourteener.”
  • B. 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.
  • C. Dam Mountain
    Dam Mountain is a popular hiking peak in the North Shore Mountains of British Columbia, known for its accessible trails and scenic views near Vancouver.
  • D. Mount Benson
    Mount Benson is a mountain peak in British Columbia, Canada, forming part of the Beaufort Range on Vancouver Island.
  • E. Sharp Mountain
    Sharp Mountain is a prominent natural peak in northern Georgia known for its scenic views and forested slopes within the Appalachian foothills.
  • 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_69d886cef44c8190ba56c44b4e863e64 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbe24a6481908b4596c95220df4a completed April 18, 2026, 7:30 p.m.
Created at: April 10, 2026, 5:34 a.m.