Triple
T29468149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akim of Kyzylorda Region |
E747435
|
entity |
| Predicate | titleInKazakh |
P89513
|
FINISHED |
| Object | Қызылорда облысының әкімі |
—
|
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: Қызылорда облысының әкімі | Statement: [Akim of Kyzylorda Region, titleInKazakh, Қызылорда облысының әкімі]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleInKazakh Context triple: [Akim of Kyzylorda Region, titleInKazakh, Қызылорда облысының әкімі]
-
A.
titleInRussian
Indicates that an entity’s title is given or recorded in the Russian language.
-
B.
titleInLanguage
chosen
Indicates that a specific title or name is expressed in a particular language.
-
C.
titleInKorean
Indicates that an entity has a specific title expressed in the Korean language.
-
D.
titleInMalay
Indicates that one entity is the title of another entity expressed in the Malay language.
-
E.
titleInKanji
Indicates that one entity is the title of another entity written specifically in Kanji characters.
- 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_69f0bd42cf308190bb01b20bc5b7c2d0 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69fd5f29b1988190877764ef2a399c7f |
completed | May 8, 2026, 3:57 a.m. |
| PD | Predicate disambiguation | batch_69fd5e30194c819085b5ce586122ab37 |
completed | May 8, 2026, 3:53 a.m. |
Created at: April 28, 2026, 3:55 p.m.