Triple

T12180094
Position Surface form Disambiguated ID Type / Status
Subject Lake City E290193 entity
Predicate isCountySeatOf P383 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: [Lake City, isCountySeatOf, Hinsdale County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hinsdale County
Context triple: [Lake City, isCountySeatOf, 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 county in northwestern Wyoming known for encompassing portions of Yellowstone National Park and its surrounding mountainous 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_69d6ab64de5881908d56eb7a75c6cc69 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d915fc451c819086a2a97967b82908 completed April 10, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6345a76d88190bb5ebadfb6345af1 completed May 2, 2026, 5:28 p.m.
Created at: April 8, 2026, 9:50 p.m.