Triple

T10712653
Position Surface form Disambiguated ID Type / Status
Subject Georgia College & State University E252578 entity
Predicate city P40 FINISHED
Object Milledgeville E50684 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: Milledgeville | Statement: [Georgia College & State University, city, Milledgeville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Milledgeville
Context triple: [Georgia College & State University, city, Milledgeville]
  • A. Milledgeville, Georgia chosen
    Milledgeville, Georgia is a historic city in central Georgia that served as the state’s capital during much of the 19th century and is known for its antebellum architecture and Southern heritage.
  • B. Dawsonville
    Dawsonville is a small city in north Georgia known for its gold rush history and strong ties to stock car racing and NASCAR culture.
  • C. Macon
    Macon is a surname of English and French origin borne by various notable individuals, including American statesman Nathaniel Macon.
  • D. Macon
    Macon is a small town located in Warren County, North Carolina, known for its rural character and proximity to Lake Gaston.
  • E. Marietta
    Marietta is a feminine given name, often considered a diminutive or variant of names like Maria or Marita, used in various European and English-speaking cultures.
  • 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_69d6aa5cbabc8190973e683950d89faf completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fe533ec081909eafab85f6f6d6b9 completed April 9, 2026, 1:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69de2270ff1c81908ec1d37c7e9efd8a completed April 14, 2026, 11:18 a.m.
Created at: April 8, 2026, 9:13 p.m.