Triple
T7915105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flint River |
E183801
|
entity |
| Predicate | nearCity |
P350
|
FINISHED |
| Object | Lapeer, Michigan |
E793966
|
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: Lapeer, Michigan | Statement: [Flint River, nearCity, Lapeer, Michigan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lapeer, Michigan Context triple: [Flint River, nearCity, Lapeer, Michigan]
-
A.
Lapeer
chosen
Lapeer is a small city in Michigan known as an administrative and commercial center for the surrounding rural region.
-
B.
Grand Ledge, Michigan
Grand Ledge, Michigan is a small city in Eaton County known for its scenic sandstone ledges and parks along the Grand River.
-
C.
Packard, Michigan
Packard, Michigan is an unincorporated community located within Eaton County in the U.S. state of Michigan.
-
D.
Ecorse, Michigan
Ecorse, Michigan is a small industrial city in Wayne County along the Detroit River, historically known for its steel manufacturing and role in the Downriver Detroit region.
-
E.
Utica, Michigan
Utica, Michigan is a small suburban city in Macomb County known for its historic downtown and location along the Clinton River within the Metro Detroit 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_69ca828efbe48190bd48482650182e79 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a759b548190af2e2aa0705d7051 |
completed | March 31, 2026, 3:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d561b3c7c08190a2212b685f436093 |
completed | April 7, 2026, 7:57 p.m. |
Created at: March 30, 2026, 5:05 p.m.