Triple
T22783102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Vercelli |
E563890
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Varallo |
—
|
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: Varallo | Statement: [Province of Vercelli, contains, Varallo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Varallo Context triple: [Province of Vercelli, contains, Varallo]
-
A.
Varallo
chosen
Varallo is a historic town in Italy’s Piedmont region, renowned for its Sacro Monte sanctuary and scenic setting in the Valsesia valley.
-
B.
Valla
Valla is an Italian surname most famously associated with Renaissance humanist and philologist Lorenzo Valla.
-
C.
Valla
Valla is a small coastal locality in New South Wales, Australia, known for its beaches and relaxed rural atmosphere.
-
D.
Landino
Landino is an Italian surname most notably associated with the Renaissance humanist and scholar Cristoforo Landino.
-
E.
Vaccaro
Vaccaro is an Italian-origin surname borne by various notable individuals in fields such as acting, sports, and business.
- 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_69e2455500788190b4b33030461f3bbd |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17c2ee4e88190951afb2abe69009f |
completed | April 29, 2026, 3:34 a.m. |
Created at: April 17, 2026, 3:29 p.m.