Triple
T783945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corsica |
E16558
|
entity |
| Predicate | hasPort |
P35
|
FINISHED |
| Object | Calvi |
E136975
|
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: Calvi | Statement: [Corsica, hasPort, Calvi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Calvi Context triple: [Corsica, hasPort, Calvi]
-
A.
Calvi
chosen
Calvi is a coastal town and popular tourist destination on the northwest coast of the French island of Corsica, known for its historic citadel and scenic bay.
-
B.
Livorno
Livorno is a port city on Italy’s western coast, historically notable for its diverse communities and significant Jewish population.
-
C.
Viareggio
Viareggio is a coastal city in Tuscany, Italy, renowned for its seaside resorts and famous annual Carnival.
-
D.
Porto Ercole
Porto Ercole is a coastal village on Italy’s Monte Argentario peninsula, known as a historic Tuscan port and the place where the painter Caravaggio died.
-
E.
San Savino
San Savino is a small locality within the municipality of Predappio in the Emilia-Romagna region of northern Italy.
- 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_69a4936ad1fc81908f190208059ccf78 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a769dc6481908f12e872f997acf3 |
completed | March 1, 2026, 8:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac7f211bf88190bd6f791894ece41a |
completed | March 7, 2026, 7:40 p.m. |
Created at: March 1, 2026, 7:37 p.m.