Triple
T10022922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ohio State Route 48 |
E200652
|
entity |
| Predicate | servesCity |
P82
|
FINISHED |
| Object |
Minster, Ohio
Minster, Ohio is a small village in Auglaize County known for its strong German heritage, manufacturing base, and annual Oktoberfest celebration.
|
E835237
|
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: Minster, Ohio | Statement: [Ohio State Route 48, servesCity, Minster, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Minster, Ohio Context triple: [Ohio State Route 48, servesCity, Minster, Ohio]
-
A.
Minerva, Ohio
Minerva, Ohio is a small village in northeastern Ohio known for its historic downtown and location along the historic Lincoln Highway.
-
B.
Medina, Ohio
Medina, Ohio is a historic small city and county seat southwest of Cleveland, known for its preserved 19th-century town square and role as a suburban community within the Greater Cleveland area.
-
C.
Wakeman, Ohio
Wakeman, Ohio is a small village in northern Ohio known for its rural character and location within Huron County.
-
D.
Thurston, Ohio
Thurston, Ohio is a small village located in Fairfield County in the central part of the state.
-
E.
New London, Ohio
New London, Ohio is a small village in Huron County known for its rural character and location in north-central Ohio.
- 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: Minster, Ohio Triple: [Ohio State Route 48, servesCity, Minster, Ohio]
Generated description
Minster, Ohio is a small village in Auglaize County known for its strong German heritage, manufacturing base, and annual Oktoberfest celebration.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Minster, Ohio Target entity description: Minster, Ohio is a small village in Auglaize County known for its strong German heritage, manufacturing base, and annual Oktoberfest celebration.
-
A.
Minerva, Ohio
Minerva, Ohio is a small village in northeastern Ohio known for its historic downtown and location along the historic Lincoln Highway.
-
B.
Medina, Ohio
Medina, Ohio is a historic small city and county seat southwest of Cleveland, known for its preserved 19th-century town square and role as a suburban community within the Greater Cleveland area.
-
C.
Wakeman, Ohio
Wakeman, Ohio is a small village in northern Ohio known for its rural character and location within Huron County.
-
D.
Thurston, Ohio
Thurston, Ohio is a small village located in Fairfield County in the central part of the state.
-
E.
New London, Ohio
New London, Ohio is a small village in Huron County known for its rural character and location in north-central Ohio.
- 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_69ca831c45f08190ac1505cc15076608 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcd7ae36c8190896946be065fbf78 |
completed | April 2, 2026, 1:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d26abb0ab08190b5bcf101c5680f3c |
completed | April 5, 2026, 1:59 p.m. |
| NEDg | Description generation | batch_69d26cc38274819090cf10c2fcf43cc7 |
completed | April 5, 2026, 2:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d26d2c91fc8190bc40a678662c19aa |
completed | April 5, 2026, 2:09 p.m. |
Created at: March 30, 2026, 8:53 p.m.