Triple
T13957108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shiawassee River |
E335692
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Linden, Michigan |
E398512
|
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: Linden, Michigan | Statement: [Shiawassee River, flowsThrough, Linden, Michigan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Linden, Michigan Context triple: [Shiawassee River, flowsThrough, Linden, Michigan]
-
A.
Linden, Michigan
chosen
Linden, Michigan is a small city in southeastern Genesee County known for its historic downtown and proximity to the Shiawassee River and nearby lakes.
-
B.
Leland, Michigan
Leland, Michigan is a small historic village on the shores of Lake Michigan known for its picturesque harbor and preserved fishing district called Fishtown.
-
C.
Westland, Michigan
Westland, Michigan is a suburban city in Wayne County within the Detroit metropolitan area, known primarily as a residential and retail community.
-
D.
Litchfield, Michigan
Litchfield, Michigan is a small city in southern Michigan known for its rural character and tight-knit community.
-
E.
Lexington, Michigan
Lexington, Michigan is a small lakeside village on the shores of Lake Huron known for its marina, beaches, and role as a popular tourist destination in Michigan’s Blue Water 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_69d81c61f3508190aaf2ca0dc0002c59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e7a34f08190aa0d88b66154f268 |
completed | April 14, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ad50108b08190987795538b795d5c |
completed | May 18, 2026, 8:59 a.m. |
Created at: April 9, 2026, 10:17 p.m.