Triple
T17457284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zelenci Nature Reserve |
E425062
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Kranjska Gora |
—
|
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: Kranjska Gora | Statement: [Zelenci Nature Reserve, near, Kranjska Gora]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kranjska Gora Context triple: [Zelenci Nature Reserve, near, Kranjska Gora]
-
A.
Kranjska Gora
chosen
Kranjska Gora is a well-known Slovenian alpine resort town famed for skiing, hiking, and World Cup winter sports events.
-
B.
Bovec
Bovec is a small Slovenian town known for its alpine scenery and outdoor adventure tourism, including hiking, skiing, and white-water sports.
-
C.
Slovenj Gradec
Slovenj Gradec is a historic town in northern Slovenia known for its cultural heritage and picturesque Alpine surroundings.
-
D.
Brnik
Brnik is a village in Slovenia best known as the site of the country’s main international gateway, Ljubljana Jože Pučnik Airport.
-
E.
Portorož
Portorož is a popular Slovenian seaside resort town on the Adriatic coast, known for its beaches, spa tourism, and vibrant holiday atmosphere.
- 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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e45142b08481908cdd290692d796c3 |
completed | April 19, 2026, 3:51 a.m. |
Created at: April 10, 2026, 5:47 a.m.