Triple

T6374804
Position Surface form Disambiguated ID Type / Status
Subject Alexander City E143438 entity
Predicate locatedIn P40 FINISHED
Object Tallapoosa County E220890 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: Tallapoosa County | Statement: [Alexander City, locatedIn, Tallapoosa County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tallapoosa County
Context triple: [Alexander City, locatedIn, Tallapoosa County]
  • A. Tallapoosa County chosen
    Tallapoosa County is a county in east-central Alabama known for Lake Martin, outdoor recreation, and its county seat, Dadeville.
  • B. Banks County
    Banks County is a rural county in northeastern Georgia known for its location within the historic Georgia Gold Belt and its small-town communities.
  • C. Chilton County
    Chilton County is a central Alabama county best known for its extensive peach orchards and agricultural production.
  • D. Effingham County
    Effingham County is a county in southeastern Georgia known for its historic communities, proximity to Savannah, and role as part of the state’s coastal region.
  • E. Whitfield County
    Whitfield County is a county in northwestern Georgia known for its location in the Appalachian foothills and its center, the city of Dalton, a major hub of the U.S. carpet industry.
  • 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_69c008d9f4348190ab598a2913259a1c completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0683ab8e08190ab3c9a5000b1d2be completed March 22, 2026, 10:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6637a1b548190b5af5cbae81346e8 completed March 27, 2026, 11:01 a.m.
Created at: March 22, 2026, 4:33 p.m.