Triple

T22260709
Position Surface form Disambiguated ID Type / Status
Subject Logan Edwin Bleckley E550215 entity
Predicate familyName P18 FINISHED
Object Bleckley NE NERFINISHED

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: Bleckley | Statement: [Logan Edwin Bleckley, familyName, Bleckley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bleckley
Context triple: [Logan Edwin Bleckley, familyName, Bleckley]
  • A. Bleckley County chosen
    Bleckley County is a rural county in central Georgia known for its agricultural landscape and small-town communities.
  • B. Chattooga County
    Chattooga County is a county in northwestern Georgia known for its rural communities, historical sites, and proximity to the Appalachian foothills.
  • C. Bulloch County
    Bulloch County is a largely rural county in southeastern Georgia, known for its agricultural economy and county seat, Statesboro.
  • D. Aiken County
    Aiken County is a county in western South Carolina known for its historic towns, equestrian culture, and location along the Savannah River near the Georgia border.
  • E. Lumpkin County
    Lumpkin County is a county in northern Georgia known historically as a center of the Georgia Gold Rush and for its location in the Appalachian foothills.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e42adb8819087714772ea606709 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f141b703b081909a2b432463a8e2df completed April 28, 2026, 11:24 p.m.
Created at: April 16, 2026, 8:39 p.m.