Triple

T18040171
Position Surface form Disambiguated ID Type / Status
Subject Thomas County E431628 entity
Predicate hasTown P847 FINISHED
Object Ochlocknee, Georgia 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: Ochlocknee, Georgia | Statement: [Thomas County, hasTown, Ochlocknee, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ochlocknee, Georgia
Context triple: [Thomas County, hasTown, Ochlocknee, Georgia]
  • A. Ochlocknee, Georgia chosen
    Ochlocknee, Georgia is a small rural town in southern Georgia known for its agricultural community and annual Old South Day festival.
  • B. Tallapoosa, Georgia
    Tallapoosa, Georgia is a small city in Haralson County in western Georgia, known for its historic downtown and location near the Alabama state line.
  • C. Centralhatchee, Georgia
    Centralhatchee, Georgia is a small town located in rural western Georgia within Heard County.
  • D. Alapaha, Georgia
    Alapaha, Georgia is a small rural town in Berrien County known for its historic Southern character and proximity to the Alapaha River in south-central Georgia.
  • E. Sautee-Nacoochee, Georgia
    Sautee-Nacoochee, Georgia is a small unincorporated community in the Appalachian foothills known for its scenic mountain landscapes, historic sites, and vibrant arts and cultural scene.
  • 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_69d8b9050fb48190890155145deb0a66 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4bfece6448190b4ba96075715bcef completed April 19, 2026, 11:43 a.m.
Created at: April 10, 2026, 10:25 a.m.