Triple
T20181504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valsesia |
E492736
|
entity |
| Predicate | hasTouristCenter |
P2976
|
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: [Valsesia, hasTouristCenter, Varallo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Varallo Context triple: [Valsesia, hasTouristCenter, 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.
Vaccaro
Vaccaro is an Italian-origin surname borne by various notable individuals in fields such as acting, sports, and business.
-
D.
Diotisalvi
Diotisalvi was a 12th-century Italian architect best known for designing notable Romanesque buildings in Pisa, including major religious monuments.
-
E.
Valsella
Valsella is a genus of ascomycete fungi in the order Diaporthales, known for species that often occur as plant-associated or plant-pathogenic organisms.
- 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e668eed2e88190b54b15e6545dbdf8 |
completed | April 20, 2026, 5:57 p.m. |
Created at: April 11, 2026, 11:36 p.m.