Triple

T12837782
Position Surface form Disambiguated ID Type / Status
Subject Durango E306961 entity
Predicate isCountySeatOf P383 FINISHED
Object La Plata County E1012756 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: La Plata County | Statement: [Durango, isCountySeatOf, La Plata County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Plata County
Context triple: [Durango, isCountySeatOf, La Plata County]
  • A. La Plata County chosen
    La Plata County is a county in southwestern Colorado known for its scenic Rocky Mountain landscapes and the city of Durango as its largest community and economic hub.
  • B. Pondera County
    Pondera County is a rural county in northwestern Montana known for its agricultural economy, open plains, and proximity to the Rocky Mountain Front.
  • C. Prescott County
    Prescott County was a former county in eastern Ontario, Canada, that later became part of the United Counties of Prescott and Russell.
  • D. Garfield County
    Garfield County is a rural county in southwestern Utah known for its vast public lands, including parts of Bryce Canyon National Park and Grand Staircase–Escalante National Monument.
  • E. Custer County
    Custer County is a county in southwestern South Dakota known for its Black Hills scenery, outdoor recreation, and attractions such as Custer State Park and the Crazy Horse Memorial.
  • 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_69d7bdf52b94819096d6f0ba4ab50a98 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96ff015f4819090070a01f3938acc completed April 10, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c0e0e90881908f6e523754107e75 completed May 3, 2026, 3:28 a.m.
Created at: April 9, 2026, 5:35 p.m.