Triple
T11590700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Filippo Turati |
E274870
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Canzo |
E272957
|
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: Canzo | Statement: [Filippo Turati, placeOfBirth, Canzo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Canzo Context triple: [Filippo Turati, placeOfBirth, Canzo]
-
A.
Canzo
chosen
Canzo is a small town in the Lombardy region of northern Italy, known for its scenic pre-Alpine setting and historic cultural traditions.
-
B.
Canta
Canta is a town in Peru that serves as the administrative and commercial center of Canta Province in the Lima Region.
-
C.
Canti
Canti is a celebrated collection of lyric poems by Italian Romantic poet Giacomo Leopardi, known for its philosophical depth and melancholic reflection on the human condition.
-
D.
La Musica
La Musica is the allegorical personification of Music who delivers the prologue in Claudio Monteverdi’s early Baroque opera *L’Orfeo*.
-
E.
Canzoneri
Canzoneri is an Italian surname most famously associated with Tony Canzoneri, a prominent American world champion boxer of the early 20th century.
- 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_69d6aae6b14c81908dc5a74bad7591f9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d894643ae48190837502b713f5b9c6 |
completed | April 10, 2026, 6:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e714634b308190bdcb761f8b6712e7 |
completed | April 21, 2026, 6:08 a.m. |
Created at: April 8, 2026, 9:38 p.m.