Triple

T9548016
Position Surface form Disambiguated ID Type / Status
Subject Pioche Hills E230343 entity
Predicate nearbySettlement P350 FINISHED
Object Pioche E218016 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: Pioche | Statement: [Pioche Hills, nearbySettlement, Pioche]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pioche
Context triple: [Pioche Hills, nearbySettlement, Pioche]
  • A. Pioche, Nevada chosen
    Pioche, Nevada is a historic mining town in eastern Nevada known for its 19th-century silver boom and Old West heritage.
  • B. Nyngan
    Nyngan is a rural town in central New South Wales, Australia, situated on the Bogan River and serving as a service and transport hub for the surrounding agricultural region.
  • C. Elko
    Elko is a small city in northeastern Nevada known as a regional hub for ranching, mining, and outdoor recreation.
  • D. Winnemucca
    Winnemucca is a small city in north-central Nevada known as a regional hub for ranching, mining, and transportation along Interstate 80.
  • E. Rangely
    Rangely is a small town in northwestern Colorado known for its energy industry, outdoor recreation, and proximity to Dinosaur National Monument.
  • 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_69ca847c70b8819088a0a0bad64a50d6 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9904732c8190ab60ecc47c995cbe completed April 1, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1527c0914819087ffa9d201afdd35 completed April 4, 2026, 6:03 p.m.
Created at: March 30, 2026, 8:02 p.m.