Triple

T20276351
Position Surface form Disambiguated ID Type / Status
Subject GA-02 E503025 entity
Predicate hasCity P316 FINISHED
Object Upatoi, 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: Upatoi, Georgia | Statement: [GA-02, hasCity, Upatoi, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Upatoi, Georgia
Context triple: [GA-02, hasCity, Upatoi, Georgia]
  • A. Upatoi, Georgia chosen
    Upatoi, Georgia is an unincorporated community in Muscogee County that forms part of the Columbus metropolitan area in west-central Georgia.
  • B. Valdosta, Georgia
    Valdosta, Georgia is a small city in southern Georgia known as a regional hub for education, retail, and sports, particularly high school football.
  • C. Alvaton, Georgia
    Alvaton, Georgia is an unincorporated rural community located in Meriwether County in the west-central part of the state.
  • D. Odum, Georgia
    Odum, Georgia is a small town in southeastern Georgia, United States, located in Wayne County.
  • E. Jakin, Georgia
    Jakin, Georgia is a small rural city in southwestern Georgia known for its agricultural surroundings and close-knit community.
  • 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_69e0b4b0e79c8190bd61f22ef1329fa8 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e675e3df68819096fb859bc92a0da1 completed April 20, 2026, 6:52 p.m.
Created at: April 16, 2026, 10:32 a.m.