Triple
T7741289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ljubljana Cathedral |
E175515
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Cankarjevo nabrežje area |
E681064
|
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: Cankarjevo nabrežje area | Statement: [Ljubljana Cathedral, locatedIn, Cankarjevo nabrežje area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cankarjevo nabrežje area Context triple: [Ljubljana Cathedral, locatedIn, Cankarjevo nabrežje area]
-
A.
Klanjec
Klanjec is a small town in northern Croatia’s Zagorje region, known for its historic architecture and picturesque rural surroundings.
-
B.
Brnik
Brnik is a village in Slovenia best known as the site of the country’s main international gateway, Ljubljana Jože Pučnik Airport.
-
C.
Sevnica
Sevnica is a small town in central Slovenia known as the childhood home of former U.S. First Lady Melania Trump.
-
D.
Kladno
Kladno is an industrial city in the Czech Republic known historically for coal mining and steel production.
-
E.
Cankarjeva cesta
chosen
Cankarjeva cesta is a central street in Ljubljana, Slovenia, known for hosting important cultural institutions and landmarks.
- 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_69c6995f9c60819092e386192bd63c6f |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7035df9348190ad3f3d845207bf4d |
completed | March 27, 2026, 10:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8be454e708190b410dada4f4f1e97 |
completed | March 29, 2026, 5:53 a.m. |
Created at: March 27, 2026, 4:07 p.m.