Triple

T10635426
Position Surface form Disambiguated ID Type / Status
Subject Prowers County E250566 entity
Predicate hasBorderWith P224 FINISHED
Object Kiowa County E254084 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: Kiowa County | Statement: [Prowers County, hasBorderWith, Kiowa County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kiowa County
Context triple: [Prowers County, hasBorderWith, Kiowa County]
  • A. Kiowa County chosen
    Kiowa County is a sparsely populated rural county in the High Plains of southeastern Colorado, known for its agricultural economy and wide-open prairie landscapes.
  • B. Red Willow County
    Red Willow County is a county in southwestern Nebraska, with McCook as its county seat and primary population center.
  • 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. Custer County
    Custer County is a county in southwestern South Dakota known for its Black Hills scenery, outdoor recreation, and attractions such as Custer State Park and the Crazy Horse Memorial.
  • 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_69d6aa5993448190a493b790b8f85010 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6dfac70f481908363f9ac0b651fbe completed April 8, 2026, 11:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69d998a4571481908f5010146f7ca5d7 completed April 11, 2026, 12:41 a.m.
Created at: April 8, 2026, 9:03 p.m.