Triple
T10881762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brunswick University Center |
E256938
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Brunswick, Ohio |
E527027
|
NE 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: Brunswick, Ohio | Statement: [Brunswick University Center, locatedIn, Brunswick, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brunswick, Ohio Context triple: [Brunswick University Center, locatedIn, Brunswick, Ohio]
-
A.
Brunswick, Ohio
chosen
Brunswick, Ohio is a suburban city in Medina County that forms part of the Greater Cleveland metropolitan area.
-
B.
New London, Ohio
New London, Ohio is a small village in Huron County known for its rural character and location in north-central Ohio.
-
C.
Wilmington, Ohio
Wilmington, Ohio is a small city in southwestern Ohio known historically as a regional transportation hub and home to a major air park and agricultural community.
-
D.
Bridgeport, Ohio
Bridgeport, Ohio is a small village in eastern Ohio along the Ohio River, forming part of the Wheeling, West Virginia metropolitan area.
-
E.
Bremen, Ohio
Bremen, Ohio is a small village in Fairfield County known for its rural Midwestern character and tight-knit community.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aa848804819081b2713ca0bedf06 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d751da559c819094c3680a9f734ee7 |
completed | April 9, 2026, 7:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe64e2991c81908f474fe07a6ba10a |
completed | May 8, 2026, 10:34 p.m. |
Created at: April 8, 2026, 9:21 p.m.