Triple
T21314872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lovran |
E525438
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Opatija Riviera |
—
|
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: Opatija Riviera | Statement: [Lovran, partOf, Opatija Riviera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Opatija Riviera Context triple: [Lovran, partOf, Opatija Riviera]
-
A.
Opatija Riviera
chosen
Opatija Riviera is a popular coastal resort area in western Croatia along the Adriatic Sea, known for its historic villas, seaside promenades, and mild Mediterranean climate.
-
B.
Crikvenica Riviera
Crikvenica Riviera is a popular coastal tourist region in Croatia known for its beaches, seaside promenades, and holiday resorts along the Adriatic Sea.
-
C.
Makarska Riviera
The Makarska Riviera is a popular stretch of Croatia’s Dalmatian coast known for its dramatic Biokovo mountain backdrop, pebble beaches, and seaside resort towns.
-
D.
Dubrovnik littoral
Dubrovnik littoral is a coastal region in southern Croatia centered around the historic city of Dubrovnik, known for its scenic Adriatic shoreline and cultural heritage.
-
E.
Lošinj
Lošinj is a Croatian Adriatic island known for its mild climate, lush pine forests, and long-standing reputation as a health and wellness destination.
- 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_69e0b51ad810819098c12392c8e55f6c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e75dce6b4081909841ac0440fca5e4 |
completed | April 21, 2026, 11:21 a.m. |
Created at: April 16, 2026, 4:28 p.m.