Triple
T4258503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ohio State Route 13 |
E96040
|
entity |
| Predicate | connectsCommunity |
P12608
|
FINISHED |
| Object |
Chauncey, Ohio
Chauncey, Ohio is a small village in Athens County known for its location in southeastern Ohio’s coal-mining region and its proximity to the city of Athens.
|
E503136
|
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: Chauncey, Ohio | Statement: [Ohio State Route 13, connectsCommunity, Chauncey, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chauncey, Ohio Context triple: [Ohio State Route 13, connectsCommunity, Chauncey, Ohio]
-
A.
Townsend, Ohio
Townsend, Ohio is an unincorporated rural community located in Huron County in northern Ohio.
-
B.
Wakeman, Ohio
Wakeman, Ohio is a small village in northern Ohio known for its rural character and location within Huron County.
-
C.
Thurston, Ohio
Thurston, Ohio is a small village located in Fairfield County in the central part of the state.
-
D.
New London, Ohio
New London, Ohio is a small village in Huron County known for its rural character and location in north-central Ohio.
-
E.
Hudson, Ohio
Hudson, Ohio is a small city in northeastern Ohio known for its historic New England–style downtown and as a center of education and culture in the region.
- 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: Chauncey, Ohio Triple: [Ohio State Route 13, connectsCommunity, Chauncey, Ohio]
Generated description
Chauncey, Ohio is a small village in Athens County known for its location in southeastern Ohio’s coal-mining region and its proximity to the city of Athens.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chauncey, Ohio Target entity description: Chauncey, Ohio is a small village in Athens County known for its location in southeastern Ohio’s coal-mining region and its proximity to the city of Athens.
-
A.
Townsend, Ohio
Townsend, Ohio is an unincorporated rural community located in Huron County in northern Ohio.
-
B.
Wakeman, Ohio
Wakeman, Ohio is a small village in northern Ohio known for its rural character and location within Huron County.
-
C.
Thurston, Ohio
Thurston, Ohio is a small village located in Fairfield County in the central part of the state.
-
D.
New London, Ohio
New London, Ohio is a small village in Huron County known for its rural character and location in north-central Ohio.
-
E.
Hudson, Ohio
Hudson, Ohio is a small city in northeastern Ohio known for its historic New England–style downtown and as a center of education and culture in the region.
- 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_69b3454095ac81909c2494f7ff294af1 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34f7ec4508190a5067f1112ac7dca |
completed | March 12, 2026, 11:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beef7bd5048190b19be461683c864c |
completed | March 21, 2026, 7:20 p.m. |
| NEDg | Description generation | batch_69bef05ed6188190a86ec2a3bebd21dc |
completed | March 21, 2026, 7:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bef0e41b508190baca5e15efb65ee9 |
completed | March 21, 2026, 7:26 p.m. |
Created at: March 12, 2026, 11:06 p.m.