Triple
T8524891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huber Heights, Ohio |
E201786
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | New Carlisle, Ohio |
E552606
|
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 Carlisle, Ohio | Statement: [Huber Heights, Ohio, borderedBy, New Carlisle, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: New Carlisle, Ohio Context triple: [Huber Heights, Ohio, borderedBy, New Carlisle, Ohio]
-
A.
New Carlisle, Ohio
chosen
New Carlisle, Ohio is a small city in Clark County known as a residential community within the Dayton–Springfield metropolitan area in southwestern Ohio.
-
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.
Carlisle, Ohio
Carlisle, Ohio is a small village in Warren and Montgomery counties known as a suburban community within the Dayton metropolitan area in southwestern Ohio.
-
D.
St. Clairsville, Ohio
St. Clairsville, Ohio is a small city in eastern Ohio that serves as an administrative and commercial hub for the surrounding Belmont County region.
-
E.
Germantown, Ohio
Germantown, Ohio is a small historic village in southwestern Ohio known for its well-preserved 19th-century architecture and German heritage.
- 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_69cf9ffe17e481908516d2f526d60684 |
completed | April 3, 2026, 11:09 a.m. |
Created at: March 30, 2026, 6:16 p.m.