Triple
T14733661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tuscola County, Michigan |
E346143
|
entity |
| Predicate | hasVillage |
P4011
|
FINISHED |
| Object |
Akron, Michigan
Akron, Michigan is a small rural village located in Tuscola County in the Thumb region of the U.S. state of Michigan.
|
E1123352
|
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: Akron, Michigan | Statement: [Tuscola County, Michigan, hasVillage, Akron, Michigan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Akron, Michigan Context triple: [Tuscola County, Michigan, hasVillage, Akron, Michigan]
-
A.
Akron
Akron is an industrial city in northeastern Ohio known historically for its rubber and tire manufacturing industry.
-
B.
Hamilton, Michigan
Hamilton, Michigan is a small unincorporated community and census-designated place in Allegan County known for its rural character and agricultural surroundings.
-
C.
Lorain
Lorain is an industrial city on Lake Erie in northern Ohio, historically known for its steel production and shipbuilding.
-
D.
The Glass City
The Glass City is a nickname commonly used for cities known for their prominent glass industry, architecture, or reflective skylines, such as Toledo, Ohio.
-
E.
Austin, Michigan
Austin, Michigan is a small unincorporated community located within Forsyth Township in Michigan’s Upper Peninsula.
- 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: Akron, Michigan Triple: [Tuscola County, Michigan, hasVillage, Akron, Michigan]
Generated description
Akron, Michigan is a small rural village located in Tuscola County in the Thumb region of the U.S. state of Michigan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Akron, Michigan Target entity description: Akron, Michigan is a small rural village located in Tuscola County in the Thumb region of the U.S. state of Michigan.
-
A.
Akron
Akron is an industrial city in northeastern Ohio known historically for its rubber and tire manufacturing industry.
-
B.
Hamilton, Michigan
Hamilton, Michigan is a small unincorporated community and census-designated place in Allegan County known for its rural character and agricultural surroundings.
-
C.
Lorain
Lorain is an industrial city on Lake Erie in northern Ohio, historically known for its steel production and shipbuilding.
-
D.
The Glass City
The Glass City is a nickname commonly used for cities known for their prominent glass industry, architecture, or reflective skylines, such as Toledo, Ohio.
-
E.
Austin, Michigan
Austin, Michigan is a small unincorporated community located within Forsyth Township in Michigan’s Upper Peninsula.
- 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_69d822e5911c8190ba589f957dbd9ba7 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec72ea9348190817efcdaa973d7f7 |
completed | April 14, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe64ee4284819093db172023e9fe87 |
completed | May 8, 2026, 10:34 p.m. |
| NEDg | Description generation | batch_69fe666122ec8190b650141e3c062294 |
completed | May 8, 2026, 10:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe66be64808190bab35f07d556d446 |
completed | May 8, 2026, 10:42 p.m. |
Created at: April 10, 2026, 1:29 a.m.