Triple
T19264549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tivat Airport |
E481736
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Budva |
—
|
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: Budva | Statement: [Tivat Airport, serves, Budva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Budva Context triple: [Tivat Airport, serves, Budva]
-
A.
Budva
chosen
Budva is a historic coastal town on the Adriatic Sea, famous for its medieval old town, sandy beaches, and role as a major tourist destination in Montenegro.
-
B.
Herceg Novi
Herceg Novi is a coastal town in western Montenegro known for its historic old town, fortresses, and scenic location at the entrance to the Bay of Kotor.
-
C.
Makarska
Makarska is a coastal town and popular tourist resort on the Adriatic Sea in southern Croatia, known for its beaches and the nearby Biokovo mountain range.
-
D.
Trogir
Trogir is a historic coastal town in Croatia renowned for its well-preserved medieval architecture and UNESCO-listed old town on the Adriatic Sea.
-
E.
Biševo
Biševo is a small Croatian island in the Adriatic Sea, best known for its Blue Cave (Modra špilja), a popular tourist attraction near the island of Vis.
- 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_69d8e8ce54cc8190998418ff1f66ef28 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fb8bce6881908395836960762672 |
completed | April 20, 2026, 10:10 a.m. |
Created at: April 10, 2026, 1:29 p.m.