Triple

T15245393
Position Surface form Disambiguated ID Type / Status
Subject Evans High School E364365 entity
Predicate city P40 FINISHED
Object Evans, Georgia E341928 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: Evans, Georgia | Statement: [Evans High School, city, Evans, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Evans, Georgia
Context triple: [Evans High School, city, Evans, Georgia]
  • A. Evans, Georgia chosen
    Evans, Georgia is a rapidly growing suburban community near Augusta that serves as the de facto commercial and residential hub of Columbia County.
  • B. Eastman, Georgia
    Eastman, Georgia is a small city in Dodge County known as a regional hub in central Georgia with historical ties to the railroad and the timber industry.
  • C. 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.
  • D. Blakely, Georgia
    Blakely, Georgia is a small city in southwestern Georgia that serves as the administrative and economic center of Early County.
  • E. 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.
  • 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_69d85a0dde7481908fc64d1e82d5d20d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007f306f08190be448b215d6c9b6c completed April 15, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd461cf08190a506aac2f0cec83a completed May 9, 2026, 7:07 a.m.
Created at: April 10, 2026, 3:13 a.m.