Triple

T22672576
Position Surface form Disambiguated ID Type / Status
Subject Atchison, Topeka and Santa Fe Railway E560257 entity
Predicate namedAfter P63 FINISHED
Object Atchison, 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: Atchison, Kansas | Statement: [Atchison, Topeka and Santa Fe Railway, namedAfter, Atchison, Kansas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Atchison, Kansas
Context triple: [Atchison, Topeka and Santa Fe Railway, namedAfter, Atchison, Kansas]
  • A. Atchison, Kansas, United States chosen
    Atchison, Kansas, United States is a small Midwestern city best known as the birthplace of pioneering aviator Amelia Earhart.
  • B. Peabody, Kansas
    Peabody, Kansas is a small historic city in central Kansas known for its 19th-century architecture and annual Independence Day celebrations.
  • C. Newton, Kansas
    Newton, Kansas is a small city in south-central Kansas known historically as a railroad hub and gateway to the American West.
  • D. 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.
  • E. McPherson, Kansas
    McPherson, Kansas is a small central Kansas city known for its manufacturing base, historic downtown, and role as a regional educational and cultural hub.
  • 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_69e2454bfd00819099115715a22cb057 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f17821daf88190b18a73a222fc22fb completed April 29, 2026, 3:16 a.m.
Created at: April 17, 2026, 3:10 p.m.