Triple
T15795662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ვახტანგ ჭაბუკიანი |
E382970
|
entity |
| Predicate | განსაკუთრებულიწვლილი |
P115772
|
FINISHED |
| Object | ქართული ეროვნული ცეკვის ელემენტების განვითარება ბალეტში |
—
|
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: ქართული ეროვნული ცეკვის ელემენტების განვითარება ბალეტში | Statement: [ვახტანგ ჭაბუკიანი, განსაკუთრებულიწვლილი, ქართული ეროვნული ცეკვის ელემენტების განვითარება ბალეტში]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: განსაკუთრებულიწვლილი Context triple: [ვახტანგ ჭაბუკიანი, განსაკუთრებულიწვლილი, ქართული ეროვნული ცეკვის ელემენტების განვითარება ბალეტში]
-
A.
Höhepunkt
Indicates the climax or peak point reached within an event, process, or development.
-
B.
סיבת זכייה
Indicates the reason or cause for which an entity wins or is awarded something.
-
C.
خصوصیت
chosen
Indicates that an entity possesses a certain attribute, quality, or characteristic.
-
D.
rodzaj
Indicates that one entity is a type, kind, or category of another entity.
-
E.
έχειΡόλο
Indicates that an entity holds or performs a specific role in relation to another entity or context.
- 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_69d86da16e188190b89af699f1ed0bfe |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4dc887081909d682ae153f06d97 |
completed | April 16, 2026, 10:07 a.m. |
| PD | Predicate disambiguation | batch_69e00537bd1c81908d6e832792fd934f |
completed | April 15, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:48 a.m.