Triple

T11142984
Position Surface form Disambiguated ID Type / Status
Subject Overland Lake E263600 entity
Predicate county P75 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: [Overland Lake, county, Elko County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elko County
Context triple: [Overland Lake, county, 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 sparsely populated, heavily forested county in western Montana known for its mountainous terrain, outdoor recreation, and proximity to the Idaho border.
  • 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_69d6aa9c0ba08190bbd19c217489b755 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8623158819096ad1678fa9e72bb completed April 9, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69e6849dbff08190a352eaaea8606bdb completed April 20, 2026, 7:55 p.m.
Created at: April 8, 2026, 9:28 p.m.