Triple

T13865560
Position Surface form Disambiguated ID Type / Status
Subject Concord, Georgia E333315 entity
Predicate hasOfficialName P66 FINISHED
Object Concord, Georgia E333315 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: Concord, Georgia | Statement: [Concord, Georgia, hasOfficialName, Concord, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Concord, Georgia
Context triple: [Concord, Georgia, hasOfficialName, Concord, Georgia]
  • A. Concord, Georgia chosen
    Concord, Georgia is a small town located in Pike County in the west-central part of the U.S. state of Georgia.
  • B. Conyers, Georgia
    Conyers, Georgia is a small city in Rockdale County, east of Atlanta, known as a suburban community with historic downtown charm and regional transportation access.
  • C. Norcross, Georgia
    Norcross, Georgia is a historic suburban city in Gwinnett County known for its revitalized downtown, diverse community, and proximity to Atlanta.
  • D. Oglethorpe, Georgia
    Oglethorpe, Georgia is a small city in central Georgia that serves as the administrative and commercial hub of Macon County.
  • E. Covington, Georgia
    Covington, Georgia is a small city in the eastern Atlanta metropolitan area known for its historic town square and frequent use as a filming location for movies and television shows.
  • 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_69d81c5ced9c8190b0e9bcc6effe5959 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de05c419d481909230e8879b6dab5c completed April 14, 2026, 9:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c10113288190b799126d934df92a completed May 3, 2026, 9:41 p.m.
Created at: April 9, 2026, 10:14 p.m.