Triple

T5165196
Position Surface form Disambiguated ID Type / Status
Subject Jimmy Carter National Historical Park E116533 entity
Predicate locatedIn P40 FINISHED
Object Plains, Georgia E84456 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: Plains, Georgia | Statement: [Jimmy Carter National Historical Park, locatedIn, Plains, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Plains, Georgia
Context triple: [Jimmy Carter National Historical Park, locatedIn, Plains, Georgia]
  • A. Plains, Georgia, United States chosen
    Plains, Georgia, United States, is a small rural town best known as the hometown of former U.S. President Jimmy Carter.
  • B. White Plains, Georgia
    White Plains, Georgia is a small historic town in Greene County known for its rural character and 19th-century roots in east-central Georgia.
  • C. De Soto, Georgia
    De Soto, Georgia is a small rural city located in southwestern Georgia in the United States.
  • D. Blakely, Georgia
    Blakely, Georgia is a small city in southwestern Georgia that serves as the administrative and economic center of Early County.
  • E. Valdosta, Georgia
    Valdosta, Georgia is a small city in southern Georgia known as a regional hub for education, retail, and sports, particularly high school football.
  • 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_69bd445edb3881909b93b34d260717fc completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd792af4648190934cf2db523f6921 completed March 20, 2026, 4:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed937bd8c81909569f7205044aa5a completed March 21, 2026, 5:45 p.m.
Created at: March 20, 2026, 1:44 p.m.