Triple

T799342
Position Surface form Disambiguated ID Type / Status
Subject Tennessee E17093 entity
Predicate hasCounty P285 FINISHED
Object Davidson County E37613 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: Davidson County | Statement: [Tennessee, hasCounty, Davidson County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Davidson County
Context triple: [Tennessee, hasCounty, Davidson County]
  • A. Davidson County chosen
    Davidson County is a populous county in north-central Tennessee that includes the city of Nashville, the state’s capital and a major cultural and economic center.
  • B. Meriwether County
    Meriwether County is a rural county in west-central Georgia known for its historic towns, including Warm Springs, and its association with President Franklin D. Roosevelt.
  • C. Madison County
    Madison County is a county in central Mississippi, located in the Jackson metropolitan area and known for its rapidly growing suburban communities.
  • D. 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.
  • 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_69a49378b9c48190adbf5f62e5b7aca1 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a7cb26dc8190bdd3a278b8695873 completed March 1, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7c70e6eb48190b019759cd656e629 completed March 4, 2026, 5:45 a.m.
Created at: March 1, 2026, 7:38 p.m.