Triple
T23287232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eureka, Kansas |
E589921
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object | Eureka, 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: Eureka, Kansas | Statement: [Eureka, Kansas, hasName, Eureka, Kansas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eureka, Kansas Context triple: [Eureka, Kansas, hasName, Eureka, Kansas]
-
A.
Eureka, Kansas
chosen
Eureka, Kansas is a small city in Greenwood County that serves as a local hub for the surrounding rural area in southeastern Kansas.
-
B.
Eudora, Kansas
Eudora, Kansas is a small city in northeastern Kansas located between Lawrence and the Kansas City metropolitan area.
-
C.
Erie, Kansas
Erie, Kansas is a small rural city that serves as the county seat of Neosho County in southeastern Kansas.
-
D.
Tecumseh, Kansas
Tecumseh, Kansas is a small unincorporated community in northeastern Kansas, located just east of Topeka along the Kansas River.
-
E.
Ellsworth, Kansas
Ellsworth, Kansas is a small central Kansas city historically known as a 19th-century cattle town and later as the site of institutions such as St. Joseph Military Academy.
- 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_69e25d1af9d88190a0b9b5e8fa608618 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19648842c81909756be4bc06b3a45 |
completed | April 29, 2026, 5:25 a.m. |
Created at: April 17, 2026, 5 p.m.