Triple
T35430456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Batavia Township, Clermont County, Ohio |
E1024041
|
entity |
| Predicate | hasSeatNearby |
P116457
|
FINISHED |
| Object | Batavia, 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: Batavia, Ohio | Statement: [Batavia Township, Clermont County, Ohio, hasSeatNearby, Batavia, Ohio]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSeatNearby Context triple: [Batavia Township, Clermont County, Ohio, hasSeatNearby, Batavia, Ohio]
-
A.
hasSeatingNearby
chosen
Indicates that suitable seating is available in close proximity to the referenced entity or location.
-
B.
hasFamilySeatNear
Indicates that an entity’s principal family residence or ancestral seat is located in the vicinity of another specified place or entity.
-
C.
hasSeat
Indicates that one entity possesses, provides, or includes a seat for another entity.
-
D.
hasSeatAt
Indicates that an entity occupies or holds a place, position, or membership within a specific group, body, or location.
-
E.
hasSeatStatus
Indicates the current condition or availability state of a seat in a given context.
- 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_69f76df743c48190aecb6dd79efb0d95 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a0017dd31d08190aa5e9f72df83733a |
completed | May 10, 2026, 5:30 a.m. |
| PD | Predicate disambiguation | batch_6a0015a1deb88190b9cdaa60455b0a33 |
completed | May 10, 2026, 5:20 a.m. |
Created at: May 3, 2026, 4:03 p.m.