Triple
T3005260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koper |
E81884
|
entity |
| Predicate | isSeatOf |
P62
|
FINISHED |
| Object | Municipality of Koper |
E81884
|
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: Municipality of Koper | Statement: [Koper, isSeatOf, Municipality of Koper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Municipality of Koper Context triple: [Koper, isSeatOf, Municipality of Koper]
-
A.
Novo Mesto, Slovenia
Novo Mesto is a historic town in southeastern Slovenia known for its cultural heritage and picturesque setting on the Krka River.
-
B.
Sevnica
Sevnica is a small town in central Slovenia known as the childhood home of former U.S. First Lady Melania Trump.
-
C.
Koper
chosen
Koper is a coastal city in southwestern Slovenia on the Adriatic Sea, known as the country’s only commercial port and a historic center with Venetian and medieval heritage.
-
D.
Maribor
Maribor is Slovenia’s second-largest city, known for its historic old town, wine culture, and the world’s oldest grapevine.
-
E.
Istria County
Istria County is a coastal county in western Croatia encompassing most of the Istrian Peninsula, known for its historic towns, tourism, and Mediterranean landscape.
- 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_69ad8b1c4de88190a83b7cefaa1f2842 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a15ad9c81908255003bdb38d603 |
completed | March 8, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b12e56bbd881909680248acca30557 |
completed | March 11, 2026, 8:56 a.m. |
Created at: March 8, 2026, 2:59 p.m.