Triple
T4937941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ohio State Route 33 |
E110857
|
entity |
| Predicate | connectsCity |
P4245
|
FINISHED |
| Object | Bellefontaine, Ohio |
E94746
|
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: Bellefontaine, Ohio | Statement: [Ohio State Route 33, connectsCity, Bellefontaine, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bellefontaine, Ohio Context triple: [Ohio State Route 33, connectsCity, Bellefontaine, Ohio]
-
A.
Bellefontaine, Ohio
chosen
Bellefontaine, Ohio is a small city in Logan County known historically as a regional railroad hub and for having one of the first concrete-paved streets in the United States.
-
B.
Lockbourne, Ohio
Lockbourne, Ohio is a small village in central Ohio that is part of the Columbus metropolitan area.
-
C.
Moraine, Ohio
Moraine, Ohio is a small industrial city near Dayton known for its history of automobile manufacturing and assembly plants.
-
D.
Zanesfield, Ohio
Zanesfield, Ohio is a small village in Logan County best known as the home of the Mad River Mountain ski and snowboard resort.
-
E.
Bloomingville, Ohio
Bloomingville, Ohio is an unincorporated community located in Huron County in the northern part of the state.
- 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_69bd4415eee08190bdce70276e56a5b4 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd70872270819080769dad972681ef |
completed | March 20, 2026, 4:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf410eb03c81909aca9aca27cc82c1 |
completed | March 22, 2026, 1:08 a.m. |
Created at: March 20, 2026, 1:31 p.m.