Triple

T11066519
Position Surface form Disambiguated ID Type / Status
Subject Elko, Georgia E261636 entity
Predicate locatedNear P294 FINISHED
Object Perry, Georgia E49033 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: Perry, Georgia | Statement: [Elko, Georgia, locatedNear, Perry, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Perry, Georgia
Context triple: [Elko, Georgia, locatedNear, Perry, Georgia]
  • A. Perry, Georgia chosen
    Perry, Georgia is a small city in central Georgia known as the county seat of Houston County and a gateway to the state’s agricultural and fairground attractions.
  • B. Perkins, Georgia
    Perkins, Georgia is a small unincorporated rural community located in Burke County in the eastern part of the state.
  • C. Pelham, Georgia
    Pelham, Georgia is a small city in southwestern Georgia known for its agricultural roots and historic downtown.
  • D. 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.
  • E. Jesup, Georgia
    Jesup, Georgia is a small city in southeastern Georgia that serves as the county seat of Wayne County and a regional hub for rail and outdoor recreation.
  • 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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7991f84488190a974d1744a62798d completed April 9, 2026, 12:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3c8a4cdb8819080765d746f477089 completed April 18, 2026, 6:08 p.m.
Created at: April 8, 2026, 9:26 p.m.