Triple

T601005
Position Surface form Disambiguated ID Type / Status
Subject Manchester, Georgia E11492 entity
Predicate county P75 FINISHED
Object Meriwether County E926 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: Meriwether County | Statement: [Manchester, Georgia, county, Meriwether County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meriwether County
Context triple: [Manchester, Georgia, county, Meriwether County]
  • A. Meriwether County chosen
    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.
  • B. Davidson County
    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.
  • C. McDowell County
    McDowell County is a rural, historically coal-mining county located in the southern part of West Virginia.
  • D. LaRue County
    LaRue County is a rural county in central Kentucky best known as the birthplace region of Abraham Lincoln, with Hodgenville as its county seat.
  • E. 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.
  • 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_69a4932779b881908688590d59c71900 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49d7a2180819086c7e9465a2d7432 completed March 1, 2026, 8:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69a521704f3081909c1dbb3b030e79ec completed March 2, 2026, 5:34 a.m.
Created at: March 1, 2026, 7:35 p.m.