Triple
T15795659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ვახტანგ ჭაბუკიანი |
E382970
|
entity |
| Predicate | მიღებულიაქვს |
P4382
|
FINISHED |
| Object | სსრკ სახალხო არტისტის წოდება |
—
|
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: სსრკ სახალხო არტისტის წოდება | Statement: [ვახტანგ ჭაბუკიანი, მიღებულიაქვს, სსრკ სახალხო არტისტის წოდება]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: მიღებულიაქვს Context triple: [ვახტანგ ჭაბუკიანი, მიღებულიაქვს, სსრკ სახალხო არტისტის წოდება]
-
A.
obtains
Indicates that one entity comes into possession or control of another entity, typically through some action or process.
-
B.
receives
chosen
Indicates that one entity is the recipient of something (such as an object, message, or action) from another entity.
-
C.
acquiredFor
Indicates that one entity obtained or purchased another entity specifically for the benefit, use, or purpose of a third entity.
-
D.
recipientOf
Indicates that one entity is the receiver or beneficiary of something (such as an item, message, or action) from another entity.
-
E.
awardedForToReceive
Indicates that an entity is granted an award or recognition in order to receive it for a specific reason, achievement, or qualifying basis.
- 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.