Triple
T16991063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Split-Dalmatia County |
E412194
|
entity |
| Predicate | containsIsland |
P970
|
FINISHED |
| Object | Šolta |
E413653
|
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: Šolta | Statement: [Split-Dalmatia County, containsIsland, Šolta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Šolta Context triple: [Split-Dalmatia County, containsIsland, Šolta]
-
A.
Šolta
chosen
Šolta is a small Croatian island in the Adriatic Sea, known for its tranquil villages, olive groves, and clear bays, located just off the coast from the city of Split.
-
B.
Turija
Turija is a river in Serbia that serves as one of the tributaries of the Kolubara River.
-
C.
Turija
Turija is a village in northern Serbia, known as one of the settlements within the municipality of Srbobran in the Vojvodina region.
-
D.
Susak
Susak is a small, sandy Croatian island in the Adriatic Sea known for its unique geology, distinct local dialect, and traditional folk costumes.
-
E.
Sulden
Sulden is a small alpine village and ski resort in South Tyrol, northern Italy, known for its dramatic high-mountain scenery in the Ortler Alps.
- 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_69d886cb581c8190ab05f4b429c9cd85 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d280e3348190a27bd5dc7cf87c0e |
completed | April 18, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dc14d5688190945f7ae72f724922 |
completed | May 10, 2026, 7:27 p.m. |
Created at: April 10, 2026, 5:32 a.m.