Triple

T2647883
Position Surface form Disambiguated ID Type / Status
Subject Quay County E53825 entity
Predicate borderedBy P224 FINISHED
Object Roosevelt County E53031 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: Roosevelt County | Statement: [Quay County, borderedBy, Roosevelt County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roosevelt County
Context triple: [Quay County, borderedBy, Roosevelt County]
  • A. Roosevelt County chosen
    Roosevelt County is a largely rural county in eastern New Mexico known for its agricultural economy and the city of Portales, home to Eastern New Mexico University.
  • B. El Dorado County
    El Dorado County is a county in the Sierra Nevada region of Northern California known for its Gold Rush history, outdoor recreation, and proximity to Lake Tahoe.
  • C. Phillips County
    Phillips County is a rural county in the northeastern region of Colorado known for its agricultural landscape and small communities.
  • D. Crowley County
    Crowley County is a sparsely populated rural county in southeastern Colorado known for its agricultural lands and water-related history.
  • E. Pulaski County
    Pulaski County is a rural county in central Georgia known for its agricultural landscape and the city of Hawkinsville as its county seat.
  • 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_69ab495e192081909c77b622e8e7e15a completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd91b4b3c81908571e85a1621dfc5 completed March 7, 2026, 7:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69b432e768308190a5476e660111e573 completed March 13, 2026, 3:53 p.m.
Created at: March 6, 2026, 9:53 p.m.