Triple
T36220325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charyn National Park |
E1047827
|
entity |
| Predicate | officialNameInKazakh |
P77741
|
FINISHED |
| Object | Шарын ұлттық табиғи паркі |
—
|
NE NERFINISHED |
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: Шарын ұлттық табиғи паркі | Statement: [Charyn National Park, officialNameInKazakh, Шарын ұлттық табиғи паркі]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officialNameInKazakh Context triple: [Charyn National Park, officialNameInKazakh, Шарын ұлттық табиғи паркі]
-
A.
nameInKazakh
chosen
Indicates that an entity is referred to by a particular name in the Kazakh language.
-
B.
hasOfficialNameInTurkmen
Indicates that an entity has an official, formally recognized name expressed in the Turkmen language.
-
C.
officeHolderTitleInKazakh
Indicates the official title or designation of an office holder expressed in the Kazakh language.
-
D.
officialName
Indicates the formally recognized name assigned to an entity by an authoritative body or source.
-
E.
nameInTurkmen
Indicates that an entity is referred to by a particular name when expressed in the Turkmen 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_69f76e42c878819095c8d19c0267fb87 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a00144238708190acbec3f791cc873e |
completed | May 10, 2026, 5:14 a.m. |
| PD | Predicate disambiguation | batch_6a00120244a4819090ef39070aba9d99 |
completed | May 10, 2026, 5:05 a.m. |
Created at: May 3, 2026, 4:09 p.m.