Triple
T10631626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saginaw Bay |
E250469
|
entity |
| Predicate | adjacentToCity |
P5707
|
FINISHED |
| Object | Essexville, Michigan |
E251827
|
NE FINISHED |
How this triple was built (2 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: Essexville, Michigan | Statement: [Saginaw Bay, adjacentToCity, Essexville, Michigan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Essexville, Michigan Context triple: [Saginaw Bay, adjacentToCity, Essexville, Michigan]
-
A.
Essexville, Michigan
chosen
Essexville, Michigan is a small city in the Great Lakes Bay Region known as a residential community adjacent to Bay City along the Saginaw River.
-
B.
Essex Township, Michigan
Essex Township, Michigan is a rural civil township located in Clinton County in the U.S. state of Michigan.
-
C.
Vermontville, Michigan
Vermontville, Michigan is a small rural village in Eaton County known for its historic charm and annual maple syrup festival.
-
D.
Westland, Michigan
Westland, Michigan is a suburban city in Wayne County within the Detroit metropolitan area, known primarily as a residential and retail community.
-
E.
Lexington, Michigan
Lexington, Michigan is a small lakeside village on the shores of Lake Huron known for its marina, beaches, and role as a popular tourist destination in Michigan’s Blue Water Area.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6df94dc1c8190b6347eaf35a5acc2 |
completed | April 8, 2026, 11:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96bb4bbf08190994ea9123c0b2dab |
completed | April 10, 2026, 9:29 p.m. |
Created at: April 8, 2026, 9:01 p.m.