Triple
T6703101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clinton Township, Michigan |
E152930
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Fraser, Michigan |
E527259
|
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: Fraser, Michigan | Statement: [Clinton Township, Michigan, borders, Fraser, Michigan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fraser, Michigan Context triple: [Clinton Township, Michigan, borders, 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.
Muir, Michigan
Muir, Michigan is a small rural village located in Ionia County in the central part of the U.S. state of Michigan.
-
C.
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.
-
D.
St. Johns, Michigan
St. Johns, Michigan is a small Midwestern city in central Michigan known for its agricultural roots and role as the governmental and commercial hub of the surrounding rural area.
-
E.
Kingsford, Michigan
Kingsford, Michigan is a small city in Michigan’s Upper Peninsula known historically for its ties to the Ford Motor Company and its proximity to Iron Mountain.
- 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_69c68807adbc8190b8632df42b39eda0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d0e7c4888190a44d13e889ea1c3b |
completed | March 27, 2026, 6:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1399616708190968442c5389166cf |
completed | April 4, 2026, 4:17 p.m. |
Created at: March 27, 2026, 2:06 p.m.