Triple
T11926835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keego Harbor, Michigan |
E283804
|
entity |
| Predicate | nearbyLake |
P17985
|
FINISHED |
| Object | Sylvan 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: Sylvan Lake | Statement: [Keego Harbor, Michigan, nearbyLake, Sylvan Lake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sylvan Lake Context triple: [Keego Harbor, Michigan, nearbyLake, Sylvan Lake]
-
A.
Sylvan Lake
Sylvan Lake is a freshwater lake in northeastern Indiana known for recreation such as boating, fishing, and lakeside living.
-
B.
Sylvan Lake
chosen
Sylvan Lake is a small, scenic inland lake in Oakland County, Michigan, known for recreational boating, fishing, and its surrounding residential community.
-
C.
Overland Lake
Overland Lake is a high-elevation alpine lake in Nevada’s Ruby Mountains, known for its scenic mountain setting and backcountry hiking access.
-
D.
Lynx Lake
Lynx Lake is a popular man-made reservoir and recreation area in the Prescott National Forest of Arizona, known for fishing, camping, and scenic hiking.
-
E.
Grant Lake
Grant Lake is a scenic reservoir in California’s Eastern Sierra Nevada, popular for fishing, boating, and outdoor recreation.
- 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_69d6ab2ce9c48190b5d39511b524f666 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8e8e3ff308190851ce656286bc67e |
completed | April 10, 2026, 12:11 p.m. |
Created at: April 8, 2026, 9:45 p.m.