Triple

T12025705
Position Surface form Disambiguated ID Type / Status
Subject U.S. Route 54 Business E286270 entity
Predicate county P75 FINISHED
Object Quay County E882993 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: Quay County | Statement: [U.S. Route 54 Business, county, Quay County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Quay County
Context triple: [U.S. Route 54 Business, county, Quay County]
  • A. Quay County
    Quay County is a rural county in eastern New Mexico known for its ranching, agriculture, and the city of Tucumcari along historic Route 66.
  • B. Fremont County
    Fremont County is a rural county in the southwestern corner of Iowa known for its agricultural landscape and small communities.
  • C. Fremont County
    Fremont County is a county in central Colorado known for its rugged terrain, Royal Gorge attractions, and the city of Cañon City as its county seat.
  • D. Quay County, New Mexico chosen
    Quay County, New Mexico is a largely rural county in eastern New Mexico known for its ranching, agriculture, and the city of Tucumcari along historic U.S. Route 66.
  • E. De Baca County
    De Baca County is a sparsely populated rural county in eastern New Mexico known for ranching, agriculture, and its small county seat of Fort Sumner.
  • 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_69d6ab4669e48190b59246358b0383ab completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903f02638819091e0cc0e93fa5ea7 completed April 10, 2026, 2:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e3af3cc8190b2a0e3531713aca5 completed May 2, 2026, 3:54 p.m.
Created at: April 8, 2026, 9:47 p.m.