Triple

T10868401
Position Surface form Disambiguated ID Type / Status
Subject Daniel Newnan E256583 entity
Predicate familyName P18 FINISHED
Object Newnan E649582 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: Newnan | Statement: [Daniel Newnan, familyName, Newnan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Newnan
Context triple: [Daniel Newnan, familyName, Newnan]
  • A. Newnan, Georgia
    Newnan, Georgia is a historic city in west-central Georgia, known for its well-preserved antebellum architecture and role as a regional economic and cultural center.
  • B. Faunsdale
    Faunsdale is a small town located in Marengo County in the state of Alabama, United States.
  • C. Acworth
    Acworth is a small city in northwestern Georgia, United States, known for its historic downtown and proximity to Lake Acworth and Lake Allatoona.
  • D. City of Newnan chosen
    The City of Newnan is a historic Georgia municipality southwest of Atlanta, known for its well-preserved downtown, antebellum architecture, and role as the county seat of Coweta County.
  • E. Nashborough
    Nashborough was an early American frontier settlement that later became the city of Nashville, Tennessee.
  • 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_69d6aa83d1448190a66d93c32394d21f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7516f9b08819096b9438878bf36c9 completed April 9, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2167717008190bd282f318e7f9769 completed April 17, 2026, 11:16 a.m.
Created at: April 8, 2026, 9:20 p.m.