Triple
T7506295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mecosta Township, Michigan |
E177397
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object | Mecosta Township |
E177397
|
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: Mecosta Township | Statement: [Mecosta Township, Michigan, hasName, Mecosta Township]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mecosta Township Context triple: [Mecosta Township, Michigan, hasName, Mecosta Township]
-
A.
Mecosta Township, Michigan
chosen
Mecosta Township, Michigan is a civil township in Mecosta County known for encompassing the village of Mecosta within a largely rural, Midwestern landscape.
-
B.
Dorr Township
Dorr Township is a civil township and primarily rural community located in Allegan County in the U.S. state of Michigan.
-
C.
Chippewa Township
Chippewa Township is a small, primarily residential community located in Beaver County in western Pennsylvania.
-
D.
Otsego Township
Otsego Township is a civil township located in Allegan County in the U.S. state of Michigan.
-
E.
Saugatuck Township
Saugatuck Township is a small lakeside community in western Michigan known for its scenic Lake Michigan shoreline, dunes, and tourism-oriented economy.
- 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_69c69f276b108190af2cc790b6554544 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f5b5fcd88190ab4ab0ba96a6aa4b |
completed | March 27, 2026, 9:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83ca243288190bb253f4d91701407 |
completed | March 28, 2026, 8:40 p.m. |
Created at: March 27, 2026, 3:45 p.m.