Triple
T14417536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenwood |
E357494
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Lake of the Isles |
E72410
|
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: Lake of the Isles | Statement: [Kenwood, adjacentTo, Lake of the Isles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake of the Isles Context triple: [Kenwood, adjacentTo, Lake of the Isles]
-
A.
Lake of the Isles
chosen
Lake of the Isles is a scenic urban lake in Minneapolis known for its curving shoreline, wooded islands, and popular walking and biking paths.
-
B.
Lake Harriet
Lake Harriet is a popular urban lake in Minneapolis known for its beaches, walking and biking paths, and lakeside bandshell hosting concerts and community events.
-
C.
Lake Park
Lake Park is a public recreational park in Winona, Minnesota, known for its lakeside setting and outdoor amenities.
-
D.
Lake Park
Lake Park is a historic, Frederick Law Olmsted–designed public park in Milwaukee, Wisconsin, known for its scenic bluffs, trails, and views of Lake Michigan.
-
E.
Lake Park
Lake Park is a recreational lakefront park in Des Plaines, Illinois, known for its scenic water views, boating, and outdoor leisure activities.
- 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_69d82793421c8190861eb0e673b085de |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90cec8e4819087c72d82f9caacda |
completed | April 14, 2026, 7:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd7a38003c819083f276fcaae52da9 |
completed | May 8, 2026, 5:52 a.m. |
Created at: April 10, 2026, 1:17 a.m.