Triple

T20726530
Position Surface form Disambiguated ID Type / Status
Subject Amargosa Valley E509448 entity
Predicate locatedIn P40 FINISHED
Object Nye County NE NERFINISHED

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: Nye County | Statement: [Amargosa Valley, locatedIn, Nye County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nye County
Context triple: [Amargosa Valley, locatedIn, Nye County]
  • A. Nye County chosen
    Nye County is a large, sparsely populated county in south-central Nevada known for its desert landscapes, mining history, and proximity to the Nevada Test Site.
  • B. Treasure County
    Treasure County is a sparsely populated rural county in south-central Montana known for its agricultural landscape along the Yellowstone River.
  • C. Xainza County
    Xainza County is a high-altitude administrative county in the Tibet Autonomous Region of China, located within Nagqu Prefecture and known for its vast grasslands and lakes on the northern Tibetan Plateau.
  • D. 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.
  • E. Wasco County
    Wasco County is a county in north-central Oregon known for its historic role in regional transportation and agriculture along the Columbia River.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4c4cc648190b45fda6e2b20af56 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c1e8b020819091d5788b90215ead completed April 21, 2026, 12:16 a.m.
Created at: April 16, 2026, 12:29 p.m.