Triple

T12280101
Position Surface form Disambiguated ID Type / Status
Subject Uncompahgre Peak E292694 entity
Predicate county P75 FINISHED
Object Hinsdale County E970255 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: Hinsdale County | Statement: [Uncompahgre Peak, county, Hinsdale County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hinsdale County
Context triple: [Uncompahgre Peak, county, Hinsdale County]
  • A. Hinsdale County chosen
    Hinsdale County is a sparsely populated, mountainous county in southwestern Colorado known for its rugged San Juan Mountains scenery and historic mining communities.
  • B. Prescott County
    Prescott County was a former county in eastern Ontario, Canada, that later became part of the United Counties of Prescott and Russell.
  • C. Dawson County
    Dawson County is a county in north-central Georgia, United States, known for its location in the Appalachian foothills and proximity to outdoor recreation areas such as Amicalola Falls State Park.
  • D. Dawson County
    Dawson County is a rural county in the western part of Texas known for its agriculture and oil production.
  • E. Park County
    Park County is a rural county in southwestern Montana known for its proximity to Yellowstone National Park and its scenic mountain landscapes.
  • 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_69d6ab690ad081908c0ed3870ec82d53 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cf1ab8c8190a51f498bfda957d8 completed April 10, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63eec11688190a317f9e692b23ca5 completed May 2, 2026, 6:14 p.m.
Created at: April 8, 2026, 9:52 p.m.