Triple
T17075449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dan državnosti Republike Srbije |
E414334
|
entity |
| Predicate | relatedPlace |
P3158
|
FINISHED |
| Object | Orašac, Serbia |
E418543
|
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: Orašac, Serbia | Statement: [Dan državnosti Republike Srbije, relatedPlace, Orašac, Serbia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orašac, Serbia Context triple: [Dan državnosti Republike Srbije, relatedPlace, Orašac, Serbia]
-
A.
Orašac
chosen
Orašac is a historic Serbian village best known as the site where the First Serbian Uprising against Ottoman rule was launched in 1804.
-
B.
Oplenac, Serbia
Oplenac, Serbia is a hilltop complex in Topola best known for its royal mausoleum and the Church of St. George, where members of the Serbian and Yugoslav Karađorđević dynasty are buried.
-
C.
Karavukovo, Serbia
Karavukovo is a village in the Vojvodina region of northern Serbia, known as a small rural community within the Odžaci municipality.
-
D.
Obrenovac
Obrenovac is a suburban municipality of Belgrade in Serbia, known for its industrial facilities and proximity to the Sava River.
-
E.
Čukarica
Čukarica is a municipality of Belgrade known for its mix of urban neighborhoods, industrial zones, and green areas along the Sava River.
- 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.