Triple
T6352870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Budva |
E142917
|
entity |
| Predicate | nearby |
P350
|
FINISHED |
| Object | Sveti Stefan |
E587360
|
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: Sveti Stefan | Statement: [Budva, nearby, Sveti Stefan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sveti Stefan Context triple: [Budva, nearby, Sveti Stefan]
-
A.
Sveti Stefan
chosen
Sveti Stefan is a small, picturesque islet and luxury resort on the Adriatic coast of Montenegro, famous for its historic stone village and exclusive hotels.
-
B.
St. Leonhard
St. Leonhard is a locality near Salzburg, Austria, known as the valley station area for the Untersbergbahn cable car that ascends the Untersberg mountain.
-
C.
Sveta Katarina
Sveta Katarina is a small Adriatic island near the Croatian coastal town of Rovinj, known for its scenic beaches, clear waters, and resort facilities.
-
D.
St. Kajetan
St. Kajetan is the common name for the Theatinerkirche, a prominent Baroque Catholic church in Munich, Germany.
-
E.
Rastko
Rastko, later known as Saint Sava, was a medieval Serbian prince who became a monk and is revered as the founder of the Serbian Orthodox Church and a key figure in Serbian medieval culture and education.
- 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_69c008d6dcbc8190aa1c2f1fd8916b42 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c067dec4a88190992d57a0cc7782ad |
completed | March 22, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c62d52cbd881908ac36eca108f3194 |
completed | March 27, 2026, 7:10 a.m. |
Created at: March 22, 2026, 4:31 p.m.