Triple

T21900835
Position Surface form Disambiguated ID Type / Status
Subject Butler Community College E540802 entity
Predicate hasCampus P116 FINISHED
Object El Dorado, Kansas 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: El Dorado, Kansas | Statement: [Butler Community College, hasCampus, El Dorado, Kansas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: El Dorado, Kansas
Context triple: [Butler Community College, hasCampus, El Dorado, Kansas]
  • A. El Dorado, Kansas chosen
    El Dorado, Kansas is a small city in south-central Kansas known historically for its oil fields and as the county seat of Butler County.
  • B. De Soto, Kansas
    De Soto, Kansas is a small city in northeastern Kansas that forms part of the Kansas City metropolitan area.
  • C. Eudora, Kansas
    Eudora, Kansas is a small city in northeastern Kansas located between Lawrence and the Kansas City metropolitan area.
  • D. Herzog, Kansas
    Herzog, Kansas is a historic Volga German immigrant settlement that later became part of the city of Victoria in Ellis County, Kansas.
  • E. Osawatomie, Kansas
    Osawatomie, Kansas is a small historic city in eastern Kansas known for its role in the Bleeding Kansas era and its association with abolitionist John Brown.
  • 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_69e0c47b4e8c81908c8076eaa4c8e4f2 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f11fcb18748190a21071c122b7e6d5 completed April 28, 2026, 8:59 p.m.
Created at: April 16, 2026, 7:07 p.m.