Triple
T13502001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Savona |
E320914
|
entity |
| Predicate | hasPort |
P35
|
FINISHED |
| Object | Port of Savona |
E176153
|
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: Port of Savona | Statement: [Savona, hasPort, Port of Savona]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Port of Savona Context triple: [Savona, hasPort, Port of Savona]
-
A.
Port of Savona
chosen
The Port of Savona is a major commercial and passenger seaport in northwestern Italy, serving as an important hub for Mediterranean trade and cruise traffic.
-
B.
Port of Genoa
The Port of Genoa is one of Italy’s largest and busiest seaports, serving as a major hub for commercial shipping, passenger ferries, and maritime trade in the Mediterranean.
-
C.
Port of La Spezia
The Port of La Spezia is a major commercial and container seaport in northwestern Italy, serving as an important maritime gateway for trade in the Mediterranean region.
-
D.
Port of Imperia
The Port of Imperia is a maritime harbor and yachting hub in the city of Imperia on Italy’s Ligurian Sea, serving commercial, fishing, and recreational vessels.
-
E.
Port of Livorno
The Port of Livorno is a major Italian seaport on the Tyrrhenian Sea, serving as a key commercial, industrial, and passenger hub in Tuscany.
- 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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf50f4a48190a44fc537b78c32fd |
completed | April 12, 2026, 2:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78ad8903c8190afbf15234a81d657 |
completed | May 3, 2026, 5:50 p.m. |
Created at: April 9, 2026, 9:43 p.m.