Triple
T8651427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Vicenza |
E205107
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Thiene |
E746592
|
NE FINISHED |
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: Thiene | Statement: [Province of Vicenza, contains, Thiene]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thiene Context triple: [Province of Vicenza, contains, Thiene]
-
A.
Thiene
chosen
Thiene is an Italian noble family name most notably associated with Saint Cajetan, a 16th-century Catholic priest and co-founder of the Theatines.
-
B.
Caldiero
Caldiero is a town in the Veneto region of northern Italy, historically notable as the site of several Napoleonic-era battles.
-
C.
Schio
Schio is an industrial town in northeastern Italy known historically for its textile production and location in the Veneto region.
-
D.
Caldogno
Caldogno is a small town in the Veneto region of northern Italy, best known as the birthplace of legendary footballer Roberto Baggio.
-
E.
Legnago
Legnago is a town in the Veneto region of northern Italy, situated along the Adige River and known historically as a fortified center.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca834e56848190abb0eeaec9dedd32 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc48150e6c8190a7a3b92b4b640858 |
completed | March 31, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfb9f8cce48190b02f3237be91590e |
completed | April 3, 2026, 1 p.m. |
Created at: March 30, 2026, 6:29 p.m.