Triple
T34618283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Village of Sunbury, Ohio (part) |
E888926
|
entity |
| Predicate | townshipSubdivision |
P171071
|
FINISHED |
| Object | Berkshire Township |
—
|
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: Berkshire Township | Statement: [Village of Sunbury, Ohio (part), townshipSubdivision, Berkshire Township]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: townshipSubdivision Context triple: [Village of Sunbury, Ohio (part), townshipSubdivision, Berkshire Township]
-
A.
citySubdivision
Indicates that one administrative or geographic unit is a smaller subdivision contained within a larger city.
-
B.
localSubdivision
chosen
Indicates that one administrative or geographic area is a smaller, constituent part within a larger local jurisdiction or region.
-
C.
subdivisionOfName
Indicates that the given name is the name of a larger administrative or territorial unit of which the subject entity is a subdivision.
-
D.
subdivisionNameType
Indicates the type or category of a named geographic or administrative subdivision (e.g., province, state, district) associated with an entity.
-
E.
collectionSubdivision
Indicates that one collection is a constituent part, section, or subdivision of a larger collection.
- 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_69f349d584e08190b40b9f6281ad50c4 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7234bcaa48190ac970759d34e254a |
completed | May 3, 2026, 10:28 a.m. |
| PD | Predicate disambiguation | batch_69f72155c48881909bd40b9aa3febd5a |
completed | May 3, 2026, 10:20 a.m. |
Created at: May 1, 2026, 2:03 a.m.