Triple

T18159353
Position Surface form Disambiguated ID Type / Status
Subject Jones County, Georgia E434713 entity
Predicate containsCity P294 FINISHED
Object Gray, 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: Gray, Georgia | Statement: [Jones County, Georgia, containsCity, Gray, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gray, Georgia
Context triple: [Jones County, Georgia, containsCity, Gray, Georgia]
  • A. Gray, Georgia chosen
    Gray, Georgia is a small city in Jones County that serves as a local hub within the central region of the state.
  • B. Guyton, Georgia
    Guyton, Georgia is a small city in southeastern Georgia known for its historic charm and role as a residential community within the Savannah metropolitan area.
  • C. Gay, Georgia
    Gay, Georgia is a small rural town in the U.S. state of Georgia, best known for its biannual Cotton Pickin’ Fair that draws visitors from across the region.
  • D. Griffin, Georgia
    Griffin, Georgia is a small city in Spalding County known as part of the Atlanta metropolitan area and for its historic downtown and role as a regional commercial center.
  • 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_69d8b90b7a188190b3fc7b8d4a6cd20a completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4dec0e0388190af11ac167411da96 completed April 19, 2026, 1:55 p.m.
Created at: April 10, 2026, 10:30 a.m.