Triple
T14575086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Knox County, Ohio |
E342020
|
entity |
| Predicate | hasVillage |
P4011
|
FINISHED |
| Object | Utica, 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: Utica, Ohio | Statement: [Knox County, Ohio, hasVillage, Utica, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Utica, Ohio Context triple: [Knox County, Ohio, hasVillage, Utica, Ohio]
-
A.
Utica, Ohio
chosen
Utica, Ohio is a small village in central Ohio known for its rural character and annual ice cream festival.
-
B.
Urbana, Ohio
Urbana, Ohio is a small city in Champaign County known for its historic downtown, role as the county seat, and proximity to both Dayton and Springfield in southwestern Ohio.
-
C.
Hartford, Ohio
Hartford, Ohio is a small rural village located in central Ohio within Licking County.
-
D.
Wapakoneta, Ohio
Wapakoneta, Ohio is a small city in western Ohio best known as the hometown of astronaut Neil Armstrong and for its strong ties to aerospace history.
-
E.
New London, Ohio
New London, Ohio is a small village in Huron County known for its rural character and location in north-central Ohio.
- 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_69d822dcc6248190bed689984bceb0e2 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb3f49d58819094fcd2a702e146cb |
completed | April 14, 2026, 9:39 p.m. |
Created at: April 10, 2026, 1:24 a.m.