Triple
T21952677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Veglia |
E542106
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Baška |
—
|
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: Baška | Statement: [Veglia, hasSettlement, Baška]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baška Context triple: [Veglia, hasSettlement, Baška]
-
A.
Baška
chosen
Baška is a popular coastal town and tourist resort on the island of Krk in Croatia, known for its long pebble beach and historic old town.
-
B.
Bosančica
Bosančica is a historical variant of the Cyrillic script that was used primarily in medieval Bosnia and neighboring regions for writing the Bosnian language.
-
C.
Bosanska Krupa
Bosanska Krupa is a town in northwestern Bosnia and Herzegovina known for its scenic setting along the Una River and its surrounding natural landscapes.
-
D.
Ravanica
Ravanica is a river in central Serbia that flows through the region before joining the Velika Morava.
-
E.
Brčko
Brčko is a city in northeastern Bosnia and Herzegovina, known for its strategic location on the Sava River and its status as a self-governing district.
- 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_69e0c47ef0e48190a50e1bcc43f4b3fd |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1243d43d8819084e280b129631288 |
completed | April 28, 2026, 9:18 p.m. |
Created at: April 16, 2026, 7:59 p.m.