Triple
T8126543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kettering, Ohio |
E189742
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Moraine, Ohio |
E445427
|
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: Moraine, Ohio | Statement: [Kettering, Ohio, borderedBy, Moraine, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moraine, Ohio Context triple: [Kettering, Ohio, borderedBy, Moraine, Ohio]
-
A.
Moraine, Ohio
chosen
Moraine, Ohio is a small industrial city near Dayton known for its history of automobile manufacturing and assembly plants.
-
B.
Obetz, Ohio
Obetz, Ohio is a small village in central Ohio known for its proximity to Columbus and its mix of residential neighborhoods, industrial facilities, and logistics centers.
-
C.
Wakeman, Ohio
Wakeman, Ohio is a small village in northern Ohio known for its rural character and location within Huron County.
-
D.
Lockbourne, Ohio
Lockbourne, Ohio is a small village in central Ohio that is part of the Columbus metropolitan area.
-
E.
Huron, Ohio
Huron, Ohio is a small city on the southern shore of Lake Erie known for its waterfront, marinas, and proximity to regional attractions like Cedar Point.
- 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_69ca82bb74848190afb1f18640632c10 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb438eb778819085296e6cbfa2e70d |
completed | March 31, 2026, 3:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6ca1110c8190b72a2a573ddab06d |
completed | April 2, 2026, 1:18 p.m. |
Created at: March 30, 2026, 5:34 p.m.