Triple

T23039170
Position Surface form Disambiguated ID Type / Status
Subject Panola Mountain State Park E573687 entity
Predicate near P350 FINISHED
Object Stonecrest, 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: Stonecrest, Georgia | Statement: [Panola Mountain State Park, near, Stonecrest, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stonecrest, Georgia
Context triple: [Panola Mountain State Park, near, Stonecrest, Georgia]
  • A. Stonecrest, Georgia chosen
    Stonecrest, Georgia is a relatively new incorporated city in eastern DeKalb County, part of the Atlanta metropolitan area.
  • B. Peachtree City, Georgia
    Peachtree City, Georgia is a planned suburban city in the Atlanta metropolitan area known for its extensive network of golf cart paths and high quality of life.
  • C. Colquitt, Georgia
    Colquitt, Georgia is a small city in southwest Georgia known as the cultural and economic hub of Miller County.
  • D. Arlington, Georgia
    Arlington, Georgia is a small rural city in the southwestern part of the state known historically for its agricultural economy and tight-knit community.
  • E. Norcross, Georgia
    Norcross, Georgia is a historic suburban city in Gwinnett County known for its revitalized downtown, diverse community, and proximity to Atlanta.
  • 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_69e245b911188190bc3d96326c847969 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f185121da0819095b523d7d2c923ab completed April 29, 2026, 4:12 a.m.
Created at: April 17, 2026, 3:53 p.m.