Triple
T13160675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bde Maka Ska |
E312716
|
entity |
| Predicate | connectedTo |
P37
|
FINISHED |
| Object | Cedar Lake |
—
|
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: Cedar Lake | Statement: [Bde Maka Ska, connectedTo, Cedar Lake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cedar Lake Context triple: [Bde Maka Ska, connectedTo, Cedar Lake]
-
A.
Cedar Lake
chosen
Cedar Lake is a popular recreational lake in Minneapolis, Minnesota, known for its beaches, trails, and natural surroundings within the city's Chain of Lakes.
-
B.
Walnut Lake
Walnut Lake is a residential, recreational lake located in Bloomfield Township in Oakland County, Michigan.
-
C.
Greenwood Lake
Greenwood Lake is a scenic glacial lake straddling the border of New York and New Jersey, popular for boating, fishing, and lakeside recreation.
-
D.
Orchard Lake
Orchard Lake is a scenic inland lake in Oakland County, Michigan, known for its recreational boating, fishing, and upscale residential shoreline.
-
E.
Grays Lake
Grays Lake is a small natural lake in Grayslake, Illinois, known for its surrounding parkland, recreational activities, and role as a local scenic and community focal point.
- 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_69d806ac3ee081909b2fd27d060aa974 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c0971008190869e9de710f4c579 |
completed | April 10, 2026, 11:47 p.m. |
Created at: April 9, 2026, 9:12 p.m.