Triple

T21178719
Position Surface form Disambiguated ID Type / Status
Subject Topeka Daily Capital E521884 entity
Predicate city P40 FINISHED
Object Topeka 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: Topeka | Statement: [Topeka Daily Capital, city, Topeka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Topeka
Context triple: [Topeka Daily Capital, city, Topeka]
  • A. Topeka, Kansas chosen
    Topeka, Kansas is the capital city of the U.S. state of Kansas, historically significant as the community at the center of the landmark school desegregation case Brown v. Board of Education.
  • B. Wichita
    Wichita is a 1955 American Western film starring Joel McCrea as lawman Wyatt Earp in the turbulent Kansas cattle town.
  • C. Wichita
    Wichita is a savvy, resourceful con artist and one of the central survivors in the post-apocalyptic comedy film "Zombieland."
  • D. Wichita
    Wichita is a small unincorporated community located in Guthrie County, Iowa.
  • E. Wichita
    The Wichita are a Native American people historically based in the Southern Plains, particularly in present-day Kansas, Oklahoma, and Texas, known for their distinctive grass houses and role in regional trade networks.
  • 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_69e0b50ef1d48190b063aa342667df22 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7301b41908190bc104aa748a0346d completed April 21, 2026, 8:06 a.m.
Created at: April 16, 2026, 3 p.m.