Triple

T15524630
Position Surface form Disambiguated ID Type / Status
Subject CobbLinc E369050 entity
Predicate owner P347 FINISHED
Object Cobb County 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: Cobb County | Statement: [CobbLinc, owner, Cobb County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cobb County
Context triple: [CobbLinc, owner, Cobb County]
  • A. Cobb County, Georgia chosen
    Cobb County, Georgia is a populous suburban county in the Atlanta metropolitan area known for its residential communities, commercial centers, and local government services.
  • B. Hall County
    Hall County is a county in north-central Georgia known for its seat in Gainesville and its location in the foothills of the Blue Ridge Mountains.
  • C. Hall County
    Hall County is a rural county in the Texas Panhandle known for its agricultural economy and small communities such as its seat, Memphis, Texas.
  • D. Clarke County, Georgia
    Clarke County, Georgia is a northeastern Georgia county best known for encompassing the city of Athens, home to the University of Georgia and a vibrant arts and music scene.
  • E. Troup County
    Troup County is a county in west-central Georgia, United States, known for its seat in LaGrange and its location near the Alabama state line.
  • 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_69d85a1794cc8190b0b428716296e63e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e04143bda08190a2dee44918c1ad1c completed April 16, 2026, 1:54 a.m.
Created at: April 10, 2026, 4:05 a.m.