Triple
T3189172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mad River Mountain |
E66775
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
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.
|
E444951
|
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: Zanesfield, Ohio | Statement: [Mad River Mountain, locatedIn, Zanesfield, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zanesfield, Ohio Context triple: [Mad River Mountain, locatedIn, Zanesfield, Ohio]
-
A.
Townsend, Ohio
Townsend, Ohio is an unincorporated rural community located in Huron County in northern Ohio.
-
B.
Valleyview, Ohio
Valleyview, Ohio is a small village located within the Columbus metropolitan area in Franklin County.
-
C.
Springdale, Ohio
Springdale, Ohio is a suburban city in southwestern Ohio that forms part of the Cincinnati metropolitan area.
-
D.
Lockbourne, Ohio
Lockbourne, Ohio is a small village in central Ohio that is part of the Columbus metropolitan area.
-
E.
Bellefontaine, Ohio
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.
- 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: Zanesfield, Ohio Triple: [Mad River Mountain, locatedIn, Zanesfield, Ohio]
Generated description
Zanesfield, Ohio is a small village in Logan County best known as the home of the Mad River Mountain ski and snowboard resort.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zanesfield, Ohio Target entity description: Zanesfield, Ohio is a small village in Logan County best known as the home of the Mad River Mountain ski and snowboard resort.
-
A.
Townsend, Ohio
Townsend, Ohio is an unincorporated rural community located in Huron County in northern Ohio.
-
B.
Valleyview, Ohio
Valleyview, Ohio is a small village located within the Columbus metropolitan area in Franklin County.
-
C.
Springdale, Ohio
Springdale, Ohio is a suburban city in southwestern Ohio that forms part of the Cincinnati metropolitan area.
-
D.
Lockbourne, Ohio
Lockbourne, Ohio is a small village in central Ohio that is part of the Columbus metropolitan area.
-
E.
Bellefontaine, Ohio
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.
- 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_69ad8587c1bc8190a2595f2c22ee1001 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada6e491508190bc881feaee3889bc |
completed | March 8, 2026, 4:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6720e877481908d870653bbb09820 |
completed | March 15, 2026, 8:47 a.m. |
| NEDg | Description generation | batch_69b6727e314c819096e6aa6cda67d6f7 |
completed | March 15, 2026, 8:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b672c3816c8190806144d98d51a484 |
completed | March 15, 2026, 8:50 a.m. |
Created at: March 8, 2026, 3:06 p.m.