Triple

T15483291
Position Surface form Disambiguated ID Type / Status
Subject South Georgia E376975 entity
Predicate hasCity P316 FINISHED
Object Cordele, Georgia E141398 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: Cordele, Georgia | Statement: [South Georgia, hasCity, Cordele, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cordele, Georgia
Context triple: [South Georgia, hasCity, Cordele, Georgia]
  • A. Cordele chosen
    Cordele is a small city in south-central Georgia known as the "Watermelon Capital of the World" and as a regional hub along major highway and rail routes.
  • B. Colquitt, Georgia
    Colquitt, Georgia is a small city in southwest Georgia known as the cultural and economic hub of Miller County.
  • C. Calhoun, Georgia
    Calhoun, Georgia is a small city in northwest Georgia known as the county seat of Gordon County and a regional hub along Interstate 75.
  • D. Statesboro, Georgia
    Statesboro, Georgia is a small city in southeastern Georgia known as a regional hub for education, commerce, and as the home of Georgia Southern University.
  • E. Cartersville
    Cartersville is a city in northwestern Georgia known for its historic downtown, museums, and role as a regional commercial and transportation hub.
  • 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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f8e6ff08190b130b3a38f4190e7 completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6780ee3081908a0a833d887b1829 completed May 9, 2026, 4:57 p.m.
Created at: April 10, 2026, 3:42 a.m.