Triple

T19835129
Position Surface form Disambiguated ID Type / Status
Subject Ruth Carter Stapleton E476569 entity
Predicate placeOfBirth P1 FINISHED
Object Plains, 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: Plains, Georgia | Statement: [Ruth Carter Stapleton, placeOfBirth, Plains, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Plains, Georgia
Context triple: [Ruth Carter Stapleton, placeOfBirth, 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. Plainville, Georgia
    Plainville, Georgia is a small rural city located in northwestern Georgia within Gordon County.
  • C. 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.
  • D. De Soto, Georgia
    De Soto, Georgia is a small rural city located in southwestern Georgia in the United States.
  • E. Blakely, Georgia
    Blakely, Georgia is a small city in southwestern Georgia that serves as the administrative and economic center of Early County.
  • 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_69d8e51c7c188190b926f3a2a7b5f881 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e656d0e738819093000d3307962328 completed April 20, 2026, 4:39 p.m.
Created at: April 10, 2026, 1:50 p.m.