Triple
T22592081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diano Marina |
E564974
|
entity |
| Predicate | hasNearbyCity |
P350
|
FINISHED |
| Object | Alassio |
E496417
|
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: Alassio | Statement: [Diano Marina, hasNearbyCity, Alassio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alassio Context triple: [Diano Marina, hasNearbyCity, Alassio]
-
A.
Alassio
chosen
Alassio is a picturesque seaside town in northwestern Italy known for its sandy beaches, mild climate, and charming historic center along the Ligurian Riviera.
-
B.
Monterosso
Monterosso is a British Thoroughbred racehorse best known for winning the 2012 Dubai World Cup.
-
C.
Bordighera
Bordighera is a coastal town on the Italian Riviera in Liguria, known for its mild climate, palm-lined seafront, and historic appeal as a 19th-century resort.
-
D.
Monterosso al Mare
Monterosso al Mare is a coastal village in Liguria, Italy, known as the largest and most resort-oriented of the five towns that make up the Cinque Terre.
-
E.
Lerici
Lerici is a picturesque coastal town on Italy’s Ligurian Riviera, known for its historic castle, scenic harbor, and literary associations with poets like Percy Bysshe Shelley.
- 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_69e245836014819091b91ed3074742a3 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f16162c2cc8190a506776ac52356d7 |
completed | April 29, 2026, 1:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b3d5e31308190a11bff9270795efd |
completed | May 18, 2026, 4:25 p.m. |
Created at: April 17, 2026, 2:49 p.m.