Triple

T15482142
Position Surface form Disambiguated ID Type / Status
Subject Nolan County E376944 entity
Predicate borderedBy P224 FINISHED
Object Taylor County E304201 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: Taylor County | Statement: [Nolan County, borderedBy, Taylor County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taylor County
Context triple: [Nolan County, borderedBy, Taylor County]
  • A. Taylor County chosen
    Taylor County is a rural county in southwestern Iowa known for its agricultural landscape and small communities.
  • B. Taylor County
    Taylor County is a rural county in Florida known for its Gulf Coast shoreline, forests, and small-town communities centered around the city of Perry.
  • C. Taylor County
    Taylor County is a rural county in west-central Georgia known for its small communities, agricultural landscape, and location along key state highways.
  • D. Evans County
    Evans County is a rural county in southeastern Georgia known for its agricultural landscape and small-town communities.
  • E. Jones County
    Jones County is a county in central Georgia, United States, known for its rural character and proximity to the city of Macon.
  • 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_6a000ebe275c819094473d37cf33c7d0 completed May 10, 2026, 4:51 a.m.
Created at: April 10, 2026, 3:38 a.m.