Triple
T6025171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Champaign County, Ohio |
E134157
|
entity |
| Predicate | hasVillage |
P4011
|
FINISHED |
| Object |
Woodstock, Ohio
Woodstock, Ohio is a small rural village located in central Ohio within Champaign County.
|
E652446
|
NE FINISHED |
How this triple was built (4 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: Woodstock, Ohio | Statement: [Champaign County, Ohio, hasVillage, Woodstock, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Woodstock, Ohio Context triple: [Champaign County, Ohio, hasVillage, Woodstock, Ohio]
-
A.
Wakeman, Ohio
Wakeman, Ohio is a small village in northern Ohio known for its rural character and location within Huron County.
-
B.
Sebring, Ohio
Sebring, Ohio is a small village in northeastern Ohio historically known for its pottery industry and residential character.
-
C.
Campbell, Ohio
Campbell, Ohio is a small industrial city in northeastern Ohio that forms part of the Youngstown metropolitan area.
-
D.
Boardman, Ohio
Boardman, Ohio is a large suburban community and commercial hub near Youngstown in northeastern Ohio.
-
E.
Wapakoneta, Ohio
Wapakoneta, Ohio is a small city in western Ohio best known as the hometown of astronaut Neil Armstrong and for its strong ties to aerospace history.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Woodstock, Ohio Triple: [Champaign County, Ohio, hasVillage, Woodstock, Ohio]
Generated description
Woodstock, Ohio is a small rural village located in central Ohio within Champaign County.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Woodstock, Ohio Target entity description: Woodstock, Ohio is a small rural village located in central Ohio within Champaign County.
-
A.
Wakeman, Ohio
Wakeman, Ohio is a small village in northern Ohio known for its rural character and location within Huron County.
-
B.
Sebring, Ohio
Sebring, Ohio is a small village in northeastern Ohio historically known for its pottery industry and residential character.
-
C.
Campbell, Ohio
Campbell, Ohio is a small industrial city in northeastern Ohio that forms part of the Youngstown metropolitan area.
-
D.
Boardman, Ohio
Boardman, Ohio is a large suburban community and commercial hub near Youngstown in northeastern Ohio.
-
E.
Wapakoneta, Ohio
Wapakoneta, Ohio is a small city in western Ohio best known as the hometown of astronaut Neil Armstrong and for its strong ties to aerospace history.
- F. None of above. chosen
Provenance (5 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_69c008742a5c8190b9cb9c2787a3d8b3 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04fc08c5c819085afab5b18bce4d1 |
completed | March 22, 2026, 8:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7d3629e008190b1ecb996355575fc |
completed | March 28, 2026, 1:10 p.m. |
| NEDg | Description generation | batch_69c7d55ea8d88190b023d3a2deef6c29 |
completed | March 28, 2026, 1:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7d5b515f8819092873ef17d75525d |
completed | March 28, 2026, 1:20 p.m. |
Created at: March 22, 2026, 4:07 p.m.