Triple
T23099117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marina di Pisa |
E575975
|
entity |
| Predicate | hasLocalName |
P6353
|
FINISHED |
| Object | Marina di Pisa |
—
|
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: Marina di Pisa | Statement: [Marina di Pisa, hasLocalName, Marina di Pisa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marina di Pisa Context triple: [Marina di Pisa, hasLocalName, Marina di Pisa]
-
A.
Marina di Pisa
chosen
Marina di Pisa is a coastal town in Tuscany, Italy, known as a seaside resort near Pisa on the Ligurian Sea.
-
B.
Marina di Massa
Marina di Massa is a seaside town and popular tourist resort on the Tuscan coast of northwestern Italy, known for its beaches and proximity to the Apuan Alps.
-
C.
Marina di Campo
Marina di Campo is a coastal town on the Italian island of Elba, known for its long sandy beach and role as a popular tourist destination in the Tuscan Archipelago.
-
D.
Marina di Ravenna
Marina di Ravenna is a seaside resort town on Italy’s Adriatic coast, known for its beaches, pine forests, and role as a popular holiday destination near the city of Ravenna.
-
E.
Piombino
Piombino is a coastal town and port in Tuscany, Italy, serving as a major mainland gateway to the island of Elba and other Tyrrhenian destinations.
- 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_69e245c060b48190a9bd61a47a16db17 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18de71a088190b91918e6c4ea6e97 |
completed | April 29, 2026, 4:49 a.m. |
Created at: April 17, 2026, 3:58 p.m.