Triple
T13263876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lošinj Airport |
E315866
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Lošinj |
E582922
|
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: Lošinj | Statement: [Lošinj Airport, serves, Lošinj]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lošinj Context triple: [Lošinj Airport, serves, Lošinj]
-
A.
Lošinj
chosen
Lošinj is a Croatian Adriatic island known for its mild climate, lush pine forests, and long-standing reputation as a health and wellness destination.
-
B.
Brač
Brač is a large Adriatic island in Croatia known for its white-pebble Zlatni Rat beach and historic stone masonry.
-
C.
Mali Lošinj
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.
-
D.
Krk Island
Krk Island is a large Croatian island in the northern Adriatic Sea, known for its historic towns, tourism, and cultural heritage.
-
E.
Korčula
Korčula is a historic Adriatic island known for its medieval walled town, dense forests, and rich Croatian cultural heritage.
- 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_69d806b1d9ac8190852c5571d5bd5f0f |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9901c65048190bd8b3c4872f22520 |
completed | April 11, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a83125d481908fe02cf85651a7bb |
completed | May 3, 2026, 7:55 p.m. |
Created at: April 9, 2026, 9:25 p.m.