Triple
T8524889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huber Heights, Ohio |
E201786
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Vandalia, Ohio |
E199256
|
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: Vandalia, Ohio | Statement: [Huber Heights, Ohio, borderedBy, Vandalia, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vandalia, Ohio Context triple: [Huber Heights, Ohio, borderedBy, Vandalia, Ohio]
-
A.
Vandalia, Ohio
chosen
Vandalia, Ohio is a suburban city in Montgomery County that serves as a key community in the Dayton metropolitan area of the Miami Valley region.
-
B.
Havana, Ohio
Havana, Ohio is a small unincorporated community located in Huron County in north-central Ohio.
-
C.
Fairborn, Ohio
Fairborn, Ohio is a city in Greene County that forms part of the Dayton metropolitan area in southwestern Ohio.
-
D.
Tallmadge, Ohio
Tallmadge, Ohio is a small city in northeastern Ohio known for its historic New England–style town center and early 19th-century origins.
-
E.
Ravenna, Ohio
Ravenna, Ohio is a small city in northeastern Ohio that serves as the county seat of Portage County and is part of the Akron metropolitan area.
- 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_69ca83228b24819085d22e7dc99f5d94 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe644c4648190a14dcaeaa90d72c7 |
completed | March 31, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfd069faa481908db58399fe8f72f1 |
completed | April 3, 2026, 2:36 p.m. |
Created at: March 30, 2026, 6:16 p.m.