Triple

T1312063
Position Surface form Disambiguated ID Type / Status
Subject Elko E28013 entity
Predicate locatedIn P40 FINISHED
Object Elko County E22740 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: Elko County | Statement: [Elko, locatedIn, Elko County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elko County
Context triple: [Elko, locatedIn, Elko County]
  • A. Elko County chosen
    Elko County is a large, sparsely populated county in northeastern Nevada known for its mining, ranching, and wide-open high desert landscapes.
  • B. Churchill County
    Churchill County is a largely rural county in Nevada known for its agricultural communities, desert landscapes, and the city of Fallon as its county seat.
  • C. Washoe County
    Washoe County is a populous county in northwestern Nevada that includes the city of Reno and serves as a regional economic and cultural hub.
  • D. Pershing County
    Pershing County is a sparsely populated rural county in northwestern Nevada known for its desert landscapes and outdoor recreation areas.
  • E. Mineral County
    Mineral County is a rural county in western Nevada known for its mining history, desert landscapes, and the Hawthorne Army Depot.
  • 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_69a498532c3481909223b74af2e578df completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c1572b1c8190ab978198c2d655c8 completed March 1, 2026, 10:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69aebeee5a808190981c06b78d30f004 completed March 9, 2026, 12:37 p.m.
Created at: March 1, 2026, 7:55 p.m.