Triple

T1752676
Position Surface form Disambiguated ID Type / Status
Subject Tenaya Canyon E38479 entity
Predicate adjacentTo P224 FINISHED
Object Mount Watkins E237053 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: Mount Watkins | Statement: [Tenaya Canyon, adjacentTo, Mount Watkins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Watkins
Context triple: [Tenaya Canyon, adjacentTo, Mount Watkins]
  • A. Mount Watkins chosen
    Mount Watkins is a prominent granite dome in Yosemite National Park, known for its sweeping views over Tenaya Canyon and its striking profile across from Half Dome.
  • B. Mount Tennent
    Mount Tennent is a prominent mountain in the Australian Capital Territory known for its popular hiking trails and panoramic views within the Namadgi National Park.
  • C. Montgomery Peak
    Montgomery Peak is a prominent mountain in the White Mountains of California, known for its high elevation and close proximity to Boundary Peak on the Nevada–California border.
  • D. Wilmot Mountain
    Wilmot Mountain is a ski and snowboard area in southeastern Wisconsin known for its family-friendly terrain and proximity to the Chicago and Milwaukee metropolitan areas.
  • E. Mount Davis
    Mount Davis is the highest peak in Pennsylvania, located in the Laurel Highlands of the Allegheny Mountains.
  • 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_69a8862bdb2081908aefe831c8aa8017 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa641432d88190ab4254cb4c3ad402 completed March 6, 2026, 5:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae58af914c8190a27a834e3097bec7 completed March 9, 2026, 5:20 a.m.
Created at: March 4, 2026, 7:31 p.m.