Triple

T15332697
Position Surface form Disambiguated ID Type / Status
Subject Michael Unit E366576 entity
Predicate region P40 FINISHED
Object Anderson County E141793 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: Anderson County | Statement: [Michael Unit, region, Anderson County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anderson County
Context triple: [Michael Unit, region, Anderson County]
  • A. Anderson County chosen
    Anderson County is a county in East Tennessee that forms part of the Knoxville metropolitan region, known for communities such as Oak Ridge and Clinton.
  • B. Anderson County
    Anderson County is a county in northwestern South Carolina known for its mix of industrial development, suburban communities, and proximity to Lake Hartwell and the city of Anderson.
  • C. Fayette County
    Fayette County is a largely rural county in southwestern Pennsylvania known for its Appalachian landscape, historic industrial and coal-mining heritage, and proximity to the Pittsburgh metropolitan area.
  • D. Fayette County
    Fayette County is a rural county in western Alabama known for its small-town communities and agricultural and forestry-based economy.
  • E. Fayette County
    Fayette County is a county in southern West Virginia known for its rugged Appalachian landscape, outdoor recreation, and historic coal-mining communities.
  • 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_69d85a121520819093dcce999fdefe1a completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e0268608190947a58f559a67717 completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffb0319f248190a37c9afa09c32428 completed May 9, 2026, 10:07 p.m.
Created at: April 10, 2026, 3:17 a.m.