Triple
T16991059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Split-Dalmatia County |
E412194
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Supetar |
—
|
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: Supetar | Statement: [Split-Dalmatia County, contains, Supetar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Supetar Context triple: [Split-Dalmatia County, contains, Supetar]
-
A.
Supetar
chosen
Supetar is the main port and largest town on the Croatian island of Brač, known for its Adriatic seaside setting and role as a local tourism and transport hub.
-
B.
Niš
Niš is one of the largest and oldest cities in Serbia, known as a key cultural, economic, and transportation hub in the southern part of the country.
-
C.
Trebinje
Trebinje is a historic town in southern Bosnia and Herzegovina, known for its Mediterranean climate, Ottoman-era architecture, and scenic location near the border with Croatia and Montenegro.
-
D.
Nikšić
Nikšić is one of the largest cities in Montenegro, known as an important industrial, cultural, and educational center of the country.
-
E.
Bajina Bašta
Bajina Bašta is a small town in western Serbia known for its scenic location on the Drina River and proximity to the Tara National Park.
- 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_69d886cb581c8190ab05f4b429c9cd85 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d280e3348190a27bd5dc7cf87c0e |
completed | April 18, 2026, 6:50 p.m. |
Created at: April 10, 2026, 5:32 a.m.