Triple

T23203818
Position Surface form Disambiguated ID Type / Status
Subject Board of Education of Emporia USD 253 E580389 entity
Predicate city P40 FINISHED
Object Emporia 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: Emporia | Statement: [Board of Education of Emporia USD 253, city, Emporia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emporia
Context triple: [Board of Education of Emporia USD 253, city, Emporia]
  • A. Emporia, Kansas chosen
    Emporia, Kansas is a small city in east-central Kansas known as a regional hub for education, commerce, and transportation on the Great Plains.
  • B. Junction City
    Junction City is a small rural town located in Talbot County, Georgia, in the United States.
  • C. Junction City
    Junction City is a small rural city located in central Kentucky, known for its quiet residential character and proximity to the larger communities of Danville and Perryville.
  • D. Frankfort, Kansas
    Frankfort, Kansas is a small rural city in Marshall County known for its agricultural community and location in northeastern Kansas.
  • E. Augusta, Kansas
    Augusta, Kansas is a small city in Butler County known for its historic downtown, nearby lakes, and role as a residential community within the Wichita metropolitan area.
  • 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_69e24602ae1481908aaa6bc7ca493867 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1907b3e88819088a397a99456bf77 completed April 29, 2026, 5 a.m.
Created at: April 17, 2026, 4:07 p.m.