Triple
T7848153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waukesha County, Wisconsin |
E181970
|
entity |
| Predicate | hasLake |
P1025
|
FINISHED |
| Object | Pewaukee Lake |
E893337
|
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: Pewaukee Lake | Statement: [Waukesha County, Wisconsin, hasLake, Pewaukee Lake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pewaukee Lake Context triple: [Waukesha County, Wisconsin, hasLake, Pewaukee Lake]
-
A.
Pewaukee Lake
chosen
Pewaukee Lake is a popular recreational lake in southeastern Wisconsin known for boating, fishing, and lakeside communities.
-
B.
Shawano Lake
Shawano Lake is a prominent freshwater lake in northeastern Wisconsin known for its recreational fishing, boating, and role as a regional outdoor tourism destination.
-
C.
Stow Lake
Stow Lake is a man-made lake and popular recreational spot in San Francisco’s Golden Gate Park, known for its boating, walking paths, and scenic island.
-
D.
White Lake
White Lake is a freshwater lake in western Michigan known for its recreational opportunities and proximity to the Lake Michigan shoreline.
-
E.
White Lake
White Lake is a large freshwater lake in Russia’s Vologda Oblast that forms an important link in the Volga–Baltic waterway system.
- 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_69ca8285d6488190a95d4c02d7354b53 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb18e7f5988190808ae4dcfbc06991 |
completed | March 31, 2026, 12:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e23aeb6f9c8190a986af35bcf353f7 |
completed | April 17, 2026, 1:51 p.m. |
Created at: March 30, 2026, 4:49 p.m.