Triple
T22592239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camporosso |
E564978
|
entity |
| Predicate | demonym |
P191
|
FINISHED |
| Object | Camporossini |
—
|
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: Camporossini | Statement: [Camporosso, demonym, Camporossini]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Camporossini Context triple: [Camporosso, demonym, Camporossini]
-
A.
Camporosso
Camporosso is a locality in northeastern Italy that serves as the departure point for the cable car ascending to the Monte Lussari sanctuary and ski area.
-
B.
Camporosso
chosen
Camporosso is a small Italian town in the Liguria region, near the French border and the Riviera coastline.
-
C.
Roccuzzo
Roccuzzo is an Italian-origin surname best known through Antonela Roccuzzo, an Argentine model and businesswoman married to footballer Lionel Messi.
-
D.
Poggiorsini
Poggiorsini is a small Italian town and comune in the Apulia region of southern Italy.
-
E.
Norcino
Norcino is the Italian demonym for a person from Norcia, a town in the Umbria region of central 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_69e245836014819091b91ed3074742a3 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f16162c2cc8190a506776ac52356d7 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 2:49 p.m.