Triple
T23118594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Председник Владе Србије |
E576824
|
entity |
| Predicate | језикФункције |
P150974
|
FINISHED |
| Object | српски језик |
—
|
LITERAL 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: српски језик | Statement: [Председник Владе Србије, језикФункције, српски језик]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: језикФункције Context triple: [Председник Владе Србије, језикФункције, српски језик]
-
A.
functie
Indicates that one entity serves as a function, role, or operational purpose in relation to another entity.
-
B.
textualFunction
Indicates a functional or structural role that a text segment serves within a larger document or discourse (e.g., title, caption, summary, instruction).
-
C.
기능
Indicates that an entity has a particular function, role, or operational capability.
-
D.
functionInText
Indicates that a text segment serves a specific rhetorical or structural function within a larger text.
-
E.
usesFunction
Indicates that one entity employs, invokes, or relies on a particular function to perform an operation or achieve a result.
- F. None of above. chosen
Provenance (4 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_69e245f6c2e881909a228fdcfeb7c7d3 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e4dd7d8819087cc50b2dc94798e |
completed | April 29, 2026, 4:51 a.m. |
| PD | Predicate disambiguation | batch_69ef89f020588190b43393e048e7eda3 |
completed | April 27, 2026, 4:08 p.m. |
| PDg | Predicate description generation | batch_69ef9b7494f4819088ae59ea3d0ae8ab |
completed | April 27, 2026, 5:23 p.m. |
Created at: April 17, 2026, 3:59 p.m.