Triple
T10700012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Ohio |
E252247
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | New Bremen, Ohio |
E779145
|
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: New Bremen, Ohio | Statement: [Western Ohio, containsCity, New Bremen, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: New Bremen, Ohio Context triple: [Western Ohio, containsCity, New Bremen, Ohio]
-
A.
Bremen, Ohio
Bremen, Ohio is a small village in Fairfield County known for its rural Midwestern character and tight-knit community.
-
B.
Brunswick, Ohio
Brunswick, Ohio is a suburban city in Medina County that forms part of the Greater Cleveland metropolitan area.
-
C.
New Bremen
chosen
New Bremen is a small village in western Ohio known for its German heritage and historic canal-era roots.
-
D.
Brewster, Ohio
Brewster, Ohio is a small village in northeastern Ohio known for its railroading history and location within Stark County.
-
E.
Brooklyn, Ohio
Brooklyn, Ohio is a small suburban city located just west of Cleveland in Cuyahoga County.
- 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_69d6aa5cbabc8190973e683950d89faf |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fd8abd7c81909c274aa1699a3695 |
completed | April 9, 2026, 1:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d998ed78e481908537ae10d55e6f65 |
completed | April 11, 2026, 12:42 a.m. |
Created at: April 8, 2026, 9:12 p.m.