Triple
T19953793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Timken family |
E479630
|
entity |
| Predicate | businessBase |
P8072
|
FINISHED |
| Object | Canton, Ohio |
—
|
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: Canton, Ohio | Statement: [Timken family, businessBase, Canton, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Canton, Ohio Context triple: [Timken family, businessBase, Canton, Ohio]
-
A.
Canton, Ohio
chosen
Canton, Ohio is a mid-sized city in northeastern Ohio known for its industrial heritage and as the home of the Pro Football Hall of Fame.
-
B.
Hamilton, Ohio
Hamilton, Ohio is a historic industrial city in southwestern Ohio that serves as the county seat of Butler County and is part of the greater Cincinnati–Miami Valley region.
-
C.
Havana, Ohio
Havana, Ohio is a small unincorporated community located in Huron County in north-central Ohio.
-
D.
Findlay, Ohio
Findlay, Ohio is a small city in northwestern Ohio known for its historic downtown, manufacturing base, and role as the seat of Hancock County.
-
E.
Tiffin, Ohio
Tiffin, Ohio is a small city in northwestern Ohio known for its historic downtown and as the home of Heidelberg University and Tiffin University.
- 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_69d8e522a17c819095165d4d24939fd8 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65aee23488190bd92c1593fbc241c |
completed | April 20, 2026, 4:57 p.m. |
Created at: April 10, 2026, 1:54 p.m.