Triple

T16531846
Position Surface form Disambiguated ID Type / Status
Subject Mount Charleston E401585 entity
Predicate alsoKnownAs P39 FINISHED
Object Charleston Peak E954327 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: Charleston Peak | Statement: [Mount Charleston, alsoKnownAs, Charleston Peak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charleston Peak
Context triple: [Mount Charleston, alsoKnownAs, Charleston Peak]
  • A. Charleston Peak chosen
    Charleston Peak is the highest summit in Nevada’s Spring Mountains, known for its alpine terrain, hiking trails, and views over the Las Vegas Valley.
  • B. Marion Mountain
    Marion Mountain is a prominent peak and popular hiking destination within Southern California’s San Jacinto Mountains.
  • C. Flattop Mountain
    Flattop Mountain is a prominent, flat-topped peak in Rocky Mountain National Park, Colorado, popular with hikers for its expansive alpine views.
  • D. Goode Mountain
    Goode Mountain is a prominent, rugged peak in Washington State’s North Cascades, renowned among climbers for its remote location and challenging alpine routes.
  • E. 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.
  • 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_69d883838abc8190bc79cb2d41733ce2 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32ed8075c81908ff47396879abd0c completed April 18, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00aae69d1481909f5514cc496f45b5 completed May 10, 2026, 3:57 p.m.
Created at: April 10, 2026, 5:15 a.m.