Triple
T23307806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monte Tamaro |
E590498
|
entity |
| Predicate | overlooks |
P1323
|
FINISHED |
| Object | Lake Lugano |
—
|
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: Lake Lugano | Statement: [Monte Tamaro, overlooks, Lake Lugano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Lugano Context triple: [Monte Tamaro, overlooks, Lake Lugano]
-
A.
Lake Lugano
chosen
Lake Lugano is a glacial lake in the southern Alps, straddling the border between Switzerland and Italy and known for its picturesque scenery and lakeside towns.
-
B.
Lake Neuchâtel
Lake Neuchâtel is the largest lake entirely within Switzerland, located in the French-speaking western part of the country and known for its scenic shores and surrounding vineyards.
-
C.
Lake Varese
Lake Varese is a glacial lake in northern Italy known for its scenic surroundings, birdlife, and rowing activities.
-
D.
Lake Sarnen
Lake Sarnen is a scenic alpine lake in the canton of Obwalden in central Switzerland, known for its clear waters and surrounding mountain landscapes.
-
E.
Lake Lucerne
Lake Lucerne is a residential community in Miami Gardens, Florida, known for its suburban character within the Miami metropolitan area.
- 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_69e25d1c0ecc8190a355aa229f06d0e0 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f197292fd08190bc364e1433dde213 |
completed | April 29, 2026, 5:29 a.m. |
Created at: April 17, 2026, 5:05 p.m.