Triple
T12586106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M-97 |
E300465
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Fraser, Michigan |
—
|
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: Fraser, Michigan | Statement: [M-97, passesThrough, Fraser, Michigan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fraser, Michigan Context triple: [M-97, passesThrough, Fraser, Michigan]
-
A.
Fraser, Michigan
chosen
Fraser, Michigan is a small suburban city in Macomb County that forms part of the northern Detroit metropolitan area.
-
B.
Freeland, Michigan
Freeland, Michigan is a small unincorporated community in Saginaw County known as a regional transportation hub and suburban area between Saginaw and Midland.
-
C.
Fairport, Michigan
Fairport, Michigan is a small unincorporated lakeside community located at the southern tip of Michigan’s Garden Peninsula on Lake Michigan.
-
D.
Muir, Michigan
Muir, Michigan is a small rural village located in Ionia County in the central part of the U.S. state of Michigan.
-
E.
Hesperia, Michigan
Hesperia, Michigan is a small village in western Michigan known for its rural character, outdoor recreation opportunities, and location near the White River.
- 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_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954bbe72c8190aa11090bb6b480c9 |
completed | April 10, 2026, 7:51 p.m. |
Created at: April 9, 2026, 5:05 p.m.