Triple

T6130849
Position Surface form Disambiguated ID Type / Status
Subject Mitchell County, Georgia E136713 entity
Predicate countySeat P383 FINISHED
Object Camilla, Georgia E500344 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: Camilla, Georgia | Statement: [Mitchell County, Georgia, countySeat, Camilla, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Camilla, Georgia
Context triple: [Mitchell County, Georgia, countySeat, Camilla, Georgia]
  • A. Camilla, Georgia chosen
    Camilla, Georgia is a small city in Mitchell County known as an agricultural and commercial center in the southwestern part of the state.
  • B. Cumming, Georgia
    Cumming, Georgia is a small city in Forsyth County that serves as a suburban hub within the Atlanta metropolitan area.
  • C. St. Marys, Georgia
    St. Marys, Georgia is a historic coastal town in southeastern Georgia known as a gateway to Cumberland Island and the surrounding marshes and waterways.
  • D. Marble Hill, Georgia
    Marble Hill, Georgia is a small unincorporated community located in rural north-central Georgia within Pickens County.
  • E. Bloomingdale, Georgia
    Bloomingdale, Georgia is a small city in Chatham County that forms part of the greater Savannah metropolitan region in the southeastern United States.
  • 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_69c008a0a37c81908e5b4f879158afb3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05c4de9c48190b98f67a6251ec1df completed March 22, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c135d080808190938e3a1095080850 completed March 23, 2026, 12:45 p.m.
Created at: March 22, 2026, 4:15 p.m.