Triple

T7222924
Position Surface form Disambiguated ID Type / Status
Subject West Georgia Technical College E150304 entity
Predicate city P40 FINISHED
Object Waco, Georgia E277513 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: Waco, Georgia | Statement: [West Georgia Technical College, city, Waco, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waco, Georgia
Context triple: [West Georgia Technical College, city, Waco, Georgia]
  • A. Waco, Georgia chosen
    Waco, Georgia is a small community in western Georgia known for its rural character and proximity to the Alabama state line.
  • B. Whigham, Georgia
    Whigham, Georgia is a small rural city in the southwestern part of the state known for its tight-knit community and agricultural surroundings.
  • C. Williamson, Georgia
    Williamson, Georgia is a small rural city located in Pike County in the west-central part of the U.S. state of Georgia.
  • D. Wadley, Georgia
    Wadley, Georgia is a small city in east-central Georgia known historically as a railroad and agricultural community within the Augusta metropolitan area.
  • E. Springfield, Georgia
    Springfield, Georgia is a small city in Effingham County that serves as a residential and community hub within the greater Savannah metropolitan region.
  • 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_69c687effb44819092b95d07d0368c9f completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6e9b54a5c8190a4a289f32853a8fe completed March 27, 2026, 8:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7e51b3ae88190b7d03aa59d6910f5 completed March 28, 2026, 2:26 p.m.
Created at: March 27, 2026, 2:54 p.m.