Triple
T23118558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Председник Владе Србије |
E576824
|
entity |
| Predicate | имеНаЕнглеском |
P135015
|
FINISHED |
| Object | Prime Minister of Serbia |
—
|
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: Prime Minister of Serbia | Statement: [Председник Владе Србије, имеНаЕнглеском, Prime Minister of Serbia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: имеНаЕнглеском Context triple: [Председник Владе Србије, имеНаЕнглеском, Prime Minister of Serbia]
-
A.
EnglishCommander
Indicates that one entity serves as a military commander or leader for English forces in relation to another entity.
-
B.
имеНаМађарском
Indicates that an entity has a given name in the Hungarian language.
-
C.
meaningViaRebecca
Indicates a relationship where something is understood, interpreted, or conveyed specifically through the mediation or perspective of Rebecca.
-
D.
bahasaInggris
chosen
Indicates that something is expressed, written, or communicated in the English language.
-
E.
languageOfLetters
Indicates that one entity is the language in which the other entity’s letters or written correspondence are composed.
- F. None of above.
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_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. |
Created at: April 17, 2026, 3:59 p.m.