Triple
T17075472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bácska |
E414335
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Fruska Gora |
E736720
|
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: Fruska Gora | Statement: [Bácska, borderedBy, Fruska Gora]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fruska Gora Context triple: [Bácska, borderedBy, Fruska Gora]
-
A.
Fruška Gora
chosen
Fruška Gora is a low, forested mountain range and national park in northern Serbia, renowned for its biodiversity, vineyards, and historic Orthodox monasteries.
-
B.
Ravna Gora
Ravna Gora is a small mountain town in Croatia’s forested Gorski Kotar region, known for its natural landscapes and outdoor recreation.
-
C.
Vranica mountain
Vranica mountain is a prominent mountain range in central Bosnia and Herzegovina, known for its high peaks, glacial lakes, and scenic hiking terrain.
-
D.
Kozara mountain
Kozara mountain is a forested mountain massif in northwestern Bosnia and Herzegovina, known for its national park, World War II memorials, and outdoor recreation.
-
E.
Kopaonik
Kopaonik is a major mountain range and popular ski resort area in southern Serbia, known for its national park, rich biodiversity, and extensive winter sports facilities.
- 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_69d886cef44c8190ba56c44b4e863e64 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbc47808819088a4ca039689b213 |
completed | April 18, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012edfda588190aff6c6d4c8d64ddd |
completed | May 11, 2026, 1:20 a.m. |
Created at: April 10, 2026, 5:34 a.m.