Triple
T3808557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orange Township, Cuyahoga County, Ohio |
E93071
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Orange, Ohio |
E391681
|
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: Orange, Ohio | Statement: [Orange Township, Cuyahoga County, Ohio, hasSettlement, Orange, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orange, Ohio Context triple: [Orange Township, Cuyahoga County, Ohio, hasSettlement, Orange, Ohio]
-
A.
Orange Township, Ohio
chosen
Orange Township, Ohio is a small community in Cuyahoga County best known as the birthplace of U.S. President James A. Garfield.
-
B.
Norwalk, Ohio
Norwalk, Ohio is a small city in northern Ohio that serves as the county seat of Huron County and a regional hub for the surrounding rural communities.
-
C.
Canton, Ohio
Canton, Ohio is a mid-sized city in northeastern Ohio known for its industrial heritage and as the home of the Pro Football Hall of Fame.
-
D.
Bryan, Ohio
Bryan, Ohio is a small city in northwestern Ohio that serves as the county seat of Williams County.
-
E.
Reading, Ohio
Reading, Ohio is a small suburban city located just north of Cincinnati in Hamilton 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_69aed96a60088190ab1df8390fffc935 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aee80c7fc48190b5c2400918bba5c2 |
completed | March 9, 2026, 3:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b503f3590c8190b18e2e9dfd84cbcd |
completed | March 14, 2026, 6:45 a.m. |
Created at: March 9, 2026, 3:16 p.m.