Triple
T20380295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orco |
E497806
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Pont Canavese |
—
|
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: Pont Canavese | Statement: [Orco, passesThrough, Pont Canavese]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pont Canavese Context triple: [Orco, passesThrough, Pont Canavese]
-
A.
Pont Canavese
chosen
Pont Canavese is a small Italian town in the Piedmont region, known as a gateway to the Orco Valley and the nearby Graian Alps.
-
B.
Capolago
Capolago is a village in the canton of Ticino in southern Switzerland, located on the shore of Lake Lugano near the Italian border.
-
C.
Lago Miseno
Lago Miseno is a coastal volcanic lake in the Campi Flegrei area of southern Italy, historically used as a Roman naval harbor.
-
D.
Ceresole Reale Lake
Ceresole Reale Lake is a high-altitude artificial reservoir in the Piedmont region of northwestern Italy, known for its scenic alpine setting within the Gran Paradiso area.
-
E.
Fagnano Olona
Fagnano Olona is a municipality in the Province of Varese in the Lombardy region of northern Italy.
- 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_69e0b4a5b7908190a972e4e7e698ae94 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e678b026e081909541e545886c8380 |
completed | April 20, 2026, 7:04 p.m. |
Created at: April 16, 2026, 11:27 a.m.