Triple

T15483285
Position Surface form Disambiguated ID Type / Status
Subject South Georgia E376975 entity
Predicate hasCity P316 FINISHED
Object Thomasville, Georgia E285575 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: Thomasville, Georgia | Statement: [South Georgia, hasCity, Thomasville, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomasville, Georgia
Context triple: [South Georgia, hasCity, Thomasville, Georgia]
  • A. Thomasville, Georgia chosen
    Thomasville, Georgia is a historic South Georgia city known for its Victorian architecture, rose gardens, and proximity to the Florida state line.
  • B. Watkinsville, Georgia
    Watkinsville, Georgia is a small city in northeastern Georgia known for its historic charm, arts community, and role as the governmental and cultural center of Oconee County.
  • C. Plainville, Georgia
    Plainville, Georgia is a small rural city located in northwestern Georgia within Gordon County.
  • D. Townsend, Georgia
    Townsend, Georgia is a small unincorporated community in coastal southeastern Georgia known for its rural character and proximity to marshlands and waterways.
  • E. Smithville, Georgia
    Smithville, Georgia is a small rural city located in Lee County in the southwestern part of the state.
  • 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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f8e6ff08190b130b3a38f4190e7 completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c3293dc819097f9e56963c333ee completed May 9, 2026, 3:01 p.m.
Created at: April 10, 2026, 3:42 a.m.