Triple
T24169291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silvercreek Township, Greene County, Ohio |
E599080
|
entity |
| Predicate | isCivilDivisionOf |
P52313
|
FINISHED |
| Object | State of 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: State of Ohio | Statement: [Silvercreek Township, Greene County, Ohio, isCivilDivisionOf, State of Ohio]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCivilDivisionOf Context triple: [Silvercreek Township, Greene County, Ohio, isCivilDivisionOf, State of Ohio]
-
A.
hasCivilDivision
Indicates that one administrative or political entity is subdivided into, or is associated with, a specific civil division (such as a county, district, or municipality).
-
B.
isPartOfDivision
chosen
Indicates that one entity belongs to, or is contained within, a specific division of a larger organizational or structural unit.
-
C.
isDividedFrom
Indicates that one entity is separated or partitioned from another, typically by a boundary, barrier, or dividing line.
-
D.
containsDivision
Indicates that one entity includes or encompasses a subdivision or internal division of another entity.
-
E.
isMajorDivisionOf
Indicates that one entity is a primary or principal subdivision or section within another, larger entity.
- 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_69e288cbd62881909de32ca64a70c17b |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f27c9ddfcc819096697a844b300cce |
completed | April 29, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f1c42f942c8190b103ff29a60fef34 |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 17, 2026, 11:33 p.m.