Triple
T19463865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Minnetonka |
E486942
|
entity |
| Predicate | hasCityOnShore |
P969
|
FINISHED |
| Object | Deephaven |
—
|
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: Deephaven | Statement: [Lake Minnetonka, hasCityOnShore, Deephaven]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deephaven Context triple: [Lake Minnetonka, hasCityOnShore, Deephaven]
-
A.
Deephaven
chosen
Deephaven is a small suburban city in Minnesota known for its residential character and proximity to Lake Minnetonka.
-
B.
New Harbor
New Harbor is the English meaning of "Nyhavn," the historic waterfront and entertainment district in central Copenhagen, Denmark.
-
C.
New Harbor
New Harbor is a sheltered marina and anchorage on Block Island, Rhode Island, popular with recreational boaters and tourists.
-
D.
Liberty Harbor
Liberty Harbor is a waterfront residential and mixed-use neighborhood in Jersey City, New Jersey, known for its modern development and proximity to the Hudson River and Lower Manhattan.
-
E.
Old Port
Old Port is Portland, Maine’s historic waterfront district known for its cobblestone streets, 19th-century brick buildings, and vibrant shops, restaurants, and nightlife.
- 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_69d8e8d86d608190bd199a98d0297f27 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633cf95988190b13b2153e67d0cac |
completed | April 20, 2026, 2:10 p.m. |
Created at: April 10, 2026, 1:38 p.m.