Triple
T20533369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Castagneto Carducci |
E504125
|
entity |
| Predicate | hasFrazione |
P4207
|
FINISHED |
| Object | Bolgheri |
—
|
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: Bolgheri | Statement: [Castagneto Carducci, hasFrazione, Bolgheri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bolgheri Context triple: [Castagneto Carducci, hasFrazione, Bolgheri]
-
A.
Bolgheri
chosen
Bolgheri is a renowned village in Tuscany, Italy, famous for its Super Tuscan wines and picturesque cypress-lined avenues.
-
B.
Borgotaro
Borgotaro is a town and municipality in the Emilia-Romagna region of northern Italy, known for its surrounding Apennine landscapes and prized porcini mushrooms.
-
C.
Schignano
Schignano is a small Italian village in the Lombardy region, known for its traditional Alpine setting and historic Carnival celebrations.
-
D.
Varazze
Varazze is a coastal town and popular seaside resort on the Italian Riviera in the Liguria region of northwestern Italy.
-
E.
Zagarolo
Zagarolo is a historic hill town in the Lazio region of central Italy, known for its medieval center and proximity to Rome.
- 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_69e0b4b476648190bc6019622ae54d3c |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a06d30508190a13d1a9855b441fb |
completed | April 20, 2026, 9:53 p.m. |
Created at: April 16, 2026, 11:37 a.m.