Triple

T15482145
Position Surface form Disambiguated ID Type / Status
Subject Nolan County E376944 entity
Predicate borderedBy P224 FINISHED
Object Mitchell County E390032 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: Mitchell County | Statement: [Nolan County, borderedBy, Mitchell County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mitchell County
Context triple: [Nolan County, borderedBy, Mitchell County]
  • A. Mitchell County chosen
    Mitchell County is a rural county in west-central Texas known for its ranching, wind energy production, and the city of Colorado City as its county seat.
  • B. Mitchell County
    Mitchell County is a rural county in northern Iowa known for its small farming communities and agricultural landscape.
  • C. Mitchell County
    Mitchell County is a cadastral division in New South Wales, Australia, used for land administration and property title purposes.
  • D. Bailey County
    Bailey County is a rural county in the western Texas Panhandle known for its agricultural economy and small communities.
  • E. Blanco County
    Blanco County is a rural county in central Texas known for its scenic Hill Country landscapes, small towns, and outdoor recreation along the Blanco River.
  • 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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f8cb4388190a3b4c92c3bb4ad4f completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffeb7921208190bbf4e1a01c6ec5ee completed May 10, 2026, 2:20 a.m.
Created at: April 10, 2026, 3:38 a.m.