Triple
T18131637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dauphin River |
E434025
|
entity |
| Predicate | connectedTo |
P37
|
FINISHED |
| Object | Lake St. Martin |
—
|
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: Lake St. Martin | Statement: [Dauphin River, connectedTo, Lake St. Martin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake St. Martin Context triple: [Dauphin River, connectedTo, Lake St. Martin]
-
A.
Lake St. Martin
chosen
Lake St. Martin is a freshwater lake in Manitoba, Canada, known for its role in regional water management and as part of the Lake Winnipeg watershed.
-
B.
Lake Martin
Lake Martin is a large, man-made reservoir in central Alabama known for its scenic shoreline, recreational boating, and lakeside communities.
-
C.
Lac La Belle
Lac La Belle is a scenic freshwater lake in southeastern Wisconsin known for recreational activities such as boating, fishing, and lakeside living.
-
D.
Lake LaSalle
Lake LaSalle is a man-made lake located on the North Campus of the University at Buffalo, used for recreation and campus activities.
-
E.
Long Branch Lake
Long Branch Lake is a reservoir in northeastern Missouri known for its state park, boating, fishing, and other outdoor recreation opportunities.
- 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_69d8b909e8cc81908df4cc2b8ea6d11f |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddf2c68881909dfbe59df15ddccc |
completed | April 19, 2026, 1:51 p.m. |
Created at: April 10, 2026, 10:29 a.m.