Triple
T36213210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hopewell Township, Licking County, Ohio |
E1047615
|
entity |
| Predicate | countySeatLocatedInSameCounty |
P70249
|
FINISHED |
| Object | true |
—
|
LITERAL FINISHED |
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: true | Statement: [Hopewell Township, Licking County, Ohio, countySeatLocatedInSameCounty, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countySeatLocatedInSameCounty Context triple: [Hopewell Township, Licking County, Ohio, countySeatLocatedInSameCounty, true]
-
A.
hasCountySeatInSameCounty
chosen
Indicates that the county seat of an administrative region is located within the same county that it serves.
-
B.
countySeatOfSurroundingCounty
Indicates that a location serves as the county seat (administrative center) for the surrounding county.
-
C.
isInCountySeatOf
Indicates that one entity is located within the town or city that serves as the administrative center (county seat) of a specified county.
-
D.
containsCountySeat
Indicates that one administrative region or area includes within its boundaries the designated county seat location of a county.
-
E.
locatedInCountySeatOfCounty
Indicates that one entity is located in the county seat city or town of the specified county.
- F. None of above.
Provenance (3 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_69f76e4214748190a76c986d2a1838c2 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a0249374a8c8190ab19002a123da439 |
completed | May 11, 2026, 9:25 p.m. |
| PD | Predicate disambiguation | batch_6a02486194b08190a489ae3a8f4a59a9 |
completed | May 11, 2026, 9:21 p.m. |
Created at: May 3, 2026, 4:09 p.m.