Triple

T10296962
Position Surface form Disambiguated ID Type / Status
Subject Billingsley, Alabama E241515 entity
Predicate county P75 FINISHED
Object Autauga County E157874 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: Autauga County | Statement: [Billingsley, Alabama, county, Autauga County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Autauga County
Context triple: [Billingsley, Alabama, county, Autauga County]
  • A. Autauga County chosen
    Autauga County is a county in central Alabama known for its mix of rural communities, small towns, and proximity to the Montgomery metropolitan area.
  • B. Colbert County
    Colbert County is a county in northwestern Alabama known for its location along the Tennessee River and its role in the Muscle Shoals metropolitan area.
  • C. Dale County
    Dale County is a county in southeastern Alabama known for its association with Fort Novosel (formerly Fort Rucker) and its role in the Wiregrass region.
  • D. Vance County
    Vance County is a county in north-central North Carolina known for its seat, the city of Henderson, and its location near the Virginia border.
  • E. Wilkinson County
    Wilkinson County is a county in central Georgia, United States, known for its rural character and early 19th-century origins.
  • 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2ebd258819099fadddcd13099fc completed April 7, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d95e437d4481908a722a6648b62b39 completed April 10, 2026, 8:32 p.m.
Created at: April 6, 2026, 11:43 a.m.