Triple

T5691432
Position Surface form Disambiguated ID Type / Status
Subject Southeast Kansas E125435 entity
Predicate contains P35 FINISHED
Object Pittsburg, Kansas E156033 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: Pittsburg, Kansas | Statement: [Southeast Kansas, contains, Pittsburg, Kansas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pittsburg, Kansas
Context triple: [Southeast Kansas, contains, Pittsburg, Kansas]
  • A. Pittsburg, Kansas chosen
    Pittsburg, Kansas is a small industrial and college city in southeastern Kansas known for its coal-mining heritage and as the home of Pittsburg State University.
  • B. Wichita, Kansas
    Wichita, Kansas is the largest city in the state of Kansas, known as a major center for the U.S. aircraft industry and situated in south-central Kansas along the Arkansas River.
  • C. Louisville, Kansas
    Louisville, Kansas is a small rural community in Pottawatomie County that forms part of the Manhattan, Kansas region.
  • D. Columbus, Kansas
    Columbus, Kansas is a small city in southeastern Kansas known historically as a regional center for agriculture and mining.
  • E. Springfield, Kansas
    Springfield, Kansas is a small rural community in the U.S. state of Kansas, notable here as the birthplace of Oliver Brown of the landmark Brown v. Board of Education case.
  • 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_69c0082bb19c8190823a4facd3cba79b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c023e500ec8190bfda4f6a818aa5dc completed March 22, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e32cce548190898c735f8c494415 completed March 23, 2026, 6:52 a.m.
Created at: March 22, 2026, 3:44 p.m.