Triple
T21801444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Speaker of the National Assembly |
E538245
|
entity |
| Predicate | titleInSerbianCyrillic |
P89513
|
FINISHED |
| Object | Председник Народне скупштине |
—
|
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: Председник Народне скупштине | Statement: [Speaker of the National Assembly, titleInSerbianCyrillic, Председник Народне скупштине]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleInSerbianCyrillic Context triple: [Speaker of the National Assembly, titleInSerbianCyrillic, Председник Народне скупштине]
-
A.
titleInLatinScript
Indicates that the title of an entity is written or represented using a Latin-based writing system.
-
B.
titleInRussian
Indicates that an entity’s title is given or recorded in the Russian language.
-
C.
titleInLanguage
chosen
Indicates that a specific title or name is expressed in a particular language.
-
D.
titleInRomanian
Indicates that an entity’s title or name is expressed in the Romanian language.
-
E.
titleInSwedish
Indicates that one entity is the title of another entity expressed in the Swedish language.
- 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_69e0c4733f4081909a86622e7e6d15d2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f077ff986081909c984cd190167640 |
completed | April 28, 2026, 9:03 a.m. |
| PD | Predicate disambiguation | batch_69e6be751ce881909badced245ef76c7 |
completed | April 21, 2026, 12:01 a.m. |
Created at: April 16, 2026, 6:53 p.m.