Triple
T20380334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lanzo Valleys |
E497807
|
entity |
| Predicate | mainRiver |
P165
|
FINISHED |
| Object | Stura di Lanzo |
—
|
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: Stura di Lanzo | Statement: [Lanzo Valleys, mainRiver, Stura di Lanzo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stura di Lanzo Context triple: [Lanzo Valleys, mainRiver, Stura di Lanzo]
-
A.
Stura di Lanzo
chosen
Stura di Lanzo is a river in the Piedmont region of northwestern Italy that flows through the Metropolitan City of Turin before joining the Po River.
-
B.
Ponte-Leccia
Ponte-Leccia is a village in Haute-Corse, Corsica, known as a key railway junction and transport hub on the island.
-
C.
Passo del Turchino
Passo del Turchino is a mountain pass in northern Italy that has long been a traditional, strategic ascent in the Milan–San Remo professional cycling race.
-
D.
Viadana
Viadana is a town and comune in northern Italy’s Lombardy region, known for its location along the Po River and its agricultural and industrial activities.
-
E.
Porta Susa
Porta Susa is a major railway and metro station in Turin, Italy, serving as an important hub for both local and high-speed train services.
- 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.