Triple
T14790216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Michigan |
E347633
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Kalamazoo |
—
|
NE NERFINISHED |
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: Kalamazoo | Statement: [Southern Michigan, hasPart, Kalamazoo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kalamazoo Context triple: [Southern Michigan, hasPart, Kalamazoo]
-
A.
Kalamazoo
chosen
Kalamazoo is a mid-sized city in southwestern Michigan known for its historic downtown, educational institutions like Western Michigan University, and a legacy of manufacturing and craft beer.
-
B.
Saginaw
Saginaw is a residential suburb located within the greater Dallas urban area.
-
C.
Saginaw
Saginaw is a city in central Michigan known for its industrial history, location along the Saginaw River, and role as a regional economic and cultural center.
-
D.
Atlanta, Michigan
Atlanta, Michigan is a small unincorporated community in northern Michigan known for its outdoor recreation and role as the administrative center of Montmorency County.
-
E.
Frankfort, Michigan
Frankfort, Michigan is a small Lake Michigan shoreline city known for its harbor, beaches, and role as a regional tourism and fishing hub in northwestern Michigan.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d822e9b9e08190bedcc31a163fda82 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decaa1e9ec81908d7c26c1c4e43014 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 1:31 a.m.