Triple

T8757364
Position Surface form Disambiguated ID Type / Status
Subject Magic Valley E208103 entity
Predicate hasCounty P285 FINISHED
Object Cassia County E756238 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: Cassia County | Statement: [Magic Valley, hasCounty, Cassia County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cassia County
Context triple: [Magic Valley, hasCounty, Cassia County]
  • A. Cassia County chosen
    Cassia County is a largely rural county in southern Idaho known for its agricultural economy, scenic landscapes, and proximity to the Snake River and nearby mountain ranges.
  • B. Eureka County
    Eureka County is a sparsely populated rural county in north-central Nevada known for its mining history and wide expanses of high desert landscape.
  • C. 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.
  • D. Red Willow County
    Red Willow County is a county in southwestern Nebraska, with McCook as its county seat and primary population center.
  • E. Custer County
    Custer County is a rural county in south-central Colorado known for its scenic Wet Mountain Valley, ranching heritage, and outdoor recreation opportunities in the surrounding Wet Mountains and Sangre de Cristo Range.
  • 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_69ca835cd6b08190bd7c63db92f53c86 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5ddabdc88190ba50ef1833a815d0 completed March 31, 2026, 11:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf6f10aea48190bb63a4b2fdd72338 completed April 3, 2026, 7:41 a.m.
Created at: March 30, 2026, 6:40 p.m.