Triple
T19808105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tonka Bay |
E475867
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Minnetonka Beach, Minnesota |
—
|
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: Minnetonka Beach, Minnesota | Statement: [Tonka Bay, locatedNear, Minnetonka Beach, Minnesota]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Minnetonka Beach, Minnesota Context triple: [Tonka Bay, locatedNear, Minnetonka Beach, Minnesota]
-
A.
Minnetonka Beach
chosen
Minnetonka Beach is a small, affluent lakeside city in Minnesota known for its scenic residential setting on the shores of Lake Minnetonka.
-
B.
Williams Bay Beach
Williams Bay Beach is a public swimming and recreation area on the shore of Geneva Lake in Williams Bay, Wisconsin.
-
C.
Long Lake Beach
Long Lake Beach is a public lakeside swimming and recreation area in Littleton, Massachusetts.
-
D.
Lynn Beach
Lynn Beach is a public coastal beach in Lynn, Massachusetts, known for its long sandy shoreline along Massachusetts Bay and recreational access within the Lynn Shore Reservation.
-
E.
Breezy Point, Minnesota
Breezy Point, Minnesota is a small resort and residential city in central Minnesota known for its lakeside recreation and tourism.
- 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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65429fec8819091e20908101b50eb |
completed | April 20, 2026, 4:28 p.m. |
Created at: April 10, 2026, 1:49 p.m.