Triple
T6194277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kvarner Gulf |
E138470
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object | Silba |
E573951
|
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: Silba | Statement: [Kvarner Gulf, hasIsland, Silba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Silba Context triple: [Kvarner Gulf, hasIsland, Silba]
-
A.
Silba
chosen
Silba is a small Croatian island in the Adriatic Sea known for its car-free environment, tranquil beaches, and picturesque village atmosphere.
-
B.
Priola
Priola is a small locality in northeastern Italy situated close to the famous Monte Zoncolan in the Carnic Alps.
-
C.
Tortorella
Tortorella is the surname of John Tortorella, a prominent National Hockey League coach known for his fiery personality and defensive coaching style.
-
D.
Orotelli
Orotelli is a small town and comune in the province of Nuoro on the island of Sardinia, Italy, known for its traditional Sardinian culture and rural landscape.
-
E.
Faggiano
Faggiano is a small town and comune in the Apulia region of southern Italy, situated within the Province of Taranto.
- 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_69c008ab9b3081908a11b2c744838435 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062443cec81909dc9bafea2f5e7d4 |
completed | March 22, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c16f1c162081909cf34e827f1bd7d7 |
completed | March 23, 2026, 4:49 p.m. |
Created at: March 22, 2026, 4:19 p.m.