Triple
T12334254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maremma region |
E294040
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Scansano |
E844353
|
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: Scansano | Statement: [Maremma region, contains, Scansano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scansano Context triple: [Maremma region, contains, Scansano]
-
A.
Scansano
chosen
Scansano is a Tuscan hill town in central Italy renowned for its production of Morellino di Scansano red wine.
-
B.
Valdieri
Valdieri is a small Italian mountain municipality in the Piedmont region, known as a gateway to the Maritime Alps and nearby natural parks.
-
C.
Pandino
Pandino is a small Italian town in the Lombardy region, known for its historic Visconti castle and agricultural surroundings.
-
D.
Canosini
Canosini are the inhabitants or natives of Canosa di Puglia, a historic town in the Apulia region of southern Italy.
-
E.
Bocenago
Bocenago is a small municipality in northern Italy’s Trentino region, situated within the alpine Val Rendena.
- 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f64ad20819080d99e57833b4b51 |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62aa367348190b3991f256586a331 |
completed | May 2, 2026, 4:47 p.m. |
Created at: April 8, 2026, 9:53 p.m.