Triple
T21952679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Veglia |
E542106
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Vrbnik |
—
|
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: Vrbnik | Statement: [Veglia, hasSettlement, Vrbnik]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vrbnik Context triple: [Veglia, hasSettlement, Vrbnik]
-
A.
Vrbnik
chosen
Vrbnik is a historic coastal town on the Croatian island of Krk, known for its clifftop old town, narrow streets, and production of the Žlahtina white wine.
-
B.
Vrlika
Vrlika is a small historic town in inland Dalmatia, Croatia, known for its scenic setting near Lake Peruća and the Dinara mountain range.
-
C.
Vrbje
Vrbje is a municipality in eastern Croatia located within Brod-Posavina County.
-
D.
Savski Venac
Savski Venac is a central urban municipality of Belgrade, Serbia, known for its government institutions, major transport hubs, and historic neighborhoods.
-
E.
Vrbanja
Vrbanja is a river in Bosnia and Herzegovina that flows through central parts of the country before joining the Vrbas River.
- 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.