Triple
T9135901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Milan Township, Erie County, Ohio |
E219201
|
entity |
| Predicate | subdivisionName |
P747
|
FINISHED |
| Object |
Milan Township
Milan Township is a civil township located in Erie County, Ohio, known for its rural character and local governance within the county.
|
E780079
|
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: Milan Township | Statement: [Milan Township, Erie County, Ohio, subdivisionName, Milan Township]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Milan Township Context triple: [Milan Township, Erie County, Ohio, subdivisionName, Milan Township]
-
A.
Marquette Township
Marquette Township is a civil township in Marquette County in Michigan’s Upper Peninsula, known for its mix of residential communities, commercial development, and proximity to Lake Superior.
-
B.
Turin Township
Turin Township is a civil township located in Michigan, United States.
-
C.
Marter Township
Marter Township is a small rural community located within Ontario's Timiskaming District in Canada.
-
D.
Martin Township
Martin Township is a small civil township located within Allegan County in the U.S. state of Michigan.
-
E.
Insein Township
Insein Township is a northern suburban township of Yangon, Myanmar, known for its large railway junction and the notorious Insein Prison.
- 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: Milan Township Triple: [Milan Township, Erie County, Ohio, subdivisionName, Milan Township]
Generated description
Milan Township is a civil township located in Erie County, Ohio, known for its rural character and local governance within the county.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Milan Township Target entity description: Milan Township is a civil township located in Erie County, Ohio, known for its rural character and local governance within the county.
-
A.
Marquette Township
Marquette Township is a civil township in Marquette County in Michigan’s Upper Peninsula, known for its mix of residential communities, commercial development, and proximity to Lake Superior.
-
B.
Turin Township
Turin Township is a civil township located in Michigan, United States.
-
C.
Marter Township
Marter Township is a small rural community located within Ontario's Timiskaming District in Canada.
-
D.
Martin Township
Martin Township is a small civil township located within Allegan County in the U.S. state of Michigan.
-
E.
Insein Township
Insein Township is a northern suburban township of Yangon, Myanmar, known for its large railway junction and the notorious Insein Prison.
- 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_69ca83e012288190a5771058adbaabd2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8df68108190bb2df0583c5ad481 |
completed | April 1, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d047fb3c148190b2e1a19d4f76b550 |
completed | April 3, 2026, 11:06 p.m. |
| NEDg | Description generation | batch_69d049aab8a881909d55bea9d457818f |
completed | April 3, 2026, 11:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d04a037ec48190abf97b518d1efab7 |
completed | April 3, 2026, 11:15 p.m. |
Created at: March 30, 2026, 7:18 p.m.