Triple
T29624188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plain City, Ohio (part) |
E755085
|
entity |
| Predicate | isPortionOfMunicipalityIn |
P21214
|
FINISHED |
| Object | Union County, 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: Union County, Ohio | Statement: [Plain City, Ohio (part), isPortionOfMunicipalityIn, Union County, Ohio]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPortionOfMunicipalityIn Context triple: [Plain City, Ohio (part), isPortionOfMunicipalityIn, Union County, Ohio]
-
A.
isPartOfMunicipalityType
Indicates that one administrative unit or area belongs to, or is classified under, a specific type or category of municipality.
-
B.
hasMunicipalPart
Indicates that an administrative or territorial entity includes a municipality as one of its constituent parts.
-
C.
isMunicipalHomeOf
Indicates that a municipality serves as the official home base or hosting location for a particular entity or organization.
-
D.
isInMunicipality
chosen
Indicates that one entity (typically a place or address) is located within the administrative boundaries of a specific municipality.
-
E.
isPortMunicipality
Indicates that a municipality functions as a port, having facilities for maritime transport and related activities.
- 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_69f0ef86b6ec8190a87fff07fd983b1e |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f66e26eda081908c514b28a814b250 |
completed | May 2, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69f6659d36208190b01412600a4ed57d |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 28, 2026, 6:36 p.m.