Triple
T6648504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marcello Lippi |
E150760
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Viareggio |
E123041
|
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: Viareggio | Statement: [Marcello Lippi, placeOfBirth, Viareggio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Viareggio Context triple: [Marcello Lippi, placeOfBirth, Viareggio]
-
A.
Viareggio
chosen
Viareggio is a coastal city in Tuscany, Italy, renowned for its seaside resorts and famous annual Carnival.
-
B.
Pontedera
Pontedera is a town in Tuscany, central Italy, known as an industrial center and the longtime home of the Piaggio (Vespa) manufacturing plant.
-
C.
La Spezia
La Spezia is a port city in northwestern Italy known as a major naval base and gateway to the Cinque Terre on the Ligurian coast.
-
D.
Livorno
Livorno is a port city on Italy’s western coast, historically notable for its diverse communities and significant Jewish population.
-
E.
Luino
Luino is a town in northern Italy’s Lombardy region, known for its lakeside setting near the Swiss border and its historic weekly market.
- 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_69c687f1a3048190828b7342f7125d5c |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b01fea4c8190a21ba7f4c2018c5e |
completed | March 27, 2026, 4:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f79642508190a2e3810e347f2e93 |
completed | March 27, 2026, 9:33 p.m. |
Created at: March 27, 2026, 2 p.m.