Triple
T12218426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big Lake, Minnesota |
E291146
|
entity |
| Predicate | hasBodyOfWater |
P1778
|
FINISHED |
| Object | Big 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: Big Lake | Statement: [Big Lake, Minnesota, hasBodyOfWater, Big Lake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Big Lake Context triple: [Big Lake, Minnesota, hasBodyOfWater, Big Lake]
-
A.
Big Lake
Big Lake is a scenic high-elevation lake in Oregon’s Cascade Range, popular for camping, fishing, and water recreation.
-
B.
Big Lake
Big Lake is a natural lake and unincorporated community located in Noble County in northeastern Indiana.
-
C.
Big Lake
chosen
Big Lake is a city in Sherburne County, Minnesota, known as a growing outer suburb of the Minneapolis–Saint Paul metropolitan area.
-
D.
Central Lake
Central Lake is a small village in northern Michigan known for its scenic lakeside setting and outdoor recreation.
-
E.
Long Lake
Long Lake is a freshwater lake that serves as the setting for Long Lake Beach and is likely used for recreation and local outdoor activities.
- 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_69d6ab65923081909acfc61b7a612233 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91c951f5881908db6edfda1153d6f |
completed | April 10, 2026, 3:51 p.m. |
Created at: April 8, 2026, 9:51 p.m.