Triple
T6194286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kvarner Gulf |
E138470
|
entity |
| Predicate | hasCoastalTown |
P969
|
FINISHED |
| Object | Mali Lošinj |
E313751
|
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: Mali Lošinj | Statement: [Kvarner Gulf, hasCoastalTown, Mali Lošinj]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mali Lošinj Context triple: [Kvarner Gulf, hasCoastalTown, Mali Lošinj]
-
A.
Mali Lošinj
chosen
Mali Lošinj is a coastal town and popular tourist destination on the island of Lošinj in western Croatia, known for its mild climate, maritime heritage, and scenic Adriatic landscapes.
-
B.
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.
-
C.
Brač
Brač is a large Adriatic island in Croatia known for its white-pebble Zlatni Rat beach and historic stone masonry.
-
D.
Mljet
Mljet is a Croatian Adriatic island famed for its lush forests, tranquil bays, and Mljet National Park with its distinctive saltwater lakes.
-
E.
Dugi Otok
Dugi Otok is a long, sparsely populated Croatian island in the Adriatic Sea, known for its dramatic cliffs, secluded beaches, and the Telašćica Nature Park.
- 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_69c5e3d49bb88190991aff5e6bb4751a |
completed | March 27, 2026, 1:56 a.m. |
Created at: March 22, 2026, 4:19 p.m.