Triple
T20087057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of Topeka Parks and Recreation Department |
E496163
|
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: [City of Topeka Parks and Recreation Department, city, Topeka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Topeka Context triple: [City of Topeka Parks and Recreation Department, 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 small unincorporated community located in Guthrie County, Iowa.
-
D.
Wichita
Wichita is a savvy, resourceful con artist and one of the central survivors in the post-apocalyptic comedy film "Zombieland."
-
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_69da626eee3881909f3454986d4a6511 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6655ba40c8190adea0e271a1249cf |
completed | April 20, 2026, 5:41 p.m. |
Created at: April 11, 2026, 11:12 p.m.