Triple

T23482237
Position Surface form Disambiguated ID Type / Status
Subject Glennville High School E570436 entity
Predicate city P40 FINISHED
Object Glennville, 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: Glennville, Georgia | Statement: [Glennville High School, city, Glennville, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Glennville, Georgia
Context triple: [Glennville High School, city, Glennville, Georgia]
  • A. Glennville
    Glennville is a small city in southeastern Georgia, United States, known for its agricultural surroundings and rural community character.
  • B. Plainville, Georgia
    Plainville, Georgia is a small rural city located in northwestern Georgia within Gordon County.
  • C. Sylvania, Georgia
    Sylvania, Georgia is a small city in Screven County known as the county seat and a historic community in eastern Georgia.
  • D. Glennville, Georgia, United States chosen
    Glennville, Georgia, United States is a small rural city in Tattnall County known as the hometown of former NFL star wide receiver Sterling Sharpe.
  • E. Yorkville, Georgia
    Yorkville, Georgia is an unincorporated rural community located in Paulding County in the northwestern part of the state.
  • 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_69e245b0b01481908f636939bedd804c completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a75118048190b4af687906c4e747 completed April 29, 2026, 6:38 a.m.
Created at: April 17, 2026, 6:03 p.m.