Triple
T37836678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ლევან კობიაშვილი |
E943355
|
entity |
| Predicate | გახდა |
P6579
|
FINISHED |
| Object | საქართველოს ფეხბურთის ფედერაციის პრეზიდენტი |
—
|
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: საქართველოს ფეხბურთის ფედერაციის პრეზიდენტი | Statement: [ლევან კობიაშვილი, გახდა, საქართველოს ფეხბურთის ფედერაციის პრეზიდენტი]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: გახდა Context triple: [ლევან კობიაშვილი, გახდა, საქართველოს ფეხბურთის ფედერაციის პრეზიდენტი]
-
A.
became
chosen
Indicates a change of state or status in which one entity transitions into or assumes the role, condition, or identity of another.
-
B.
relocatedAndBecame
Indicates that an entity moved from one place to another and, as a result of this move, assumed a new role, status, or identity.
-
C.
willBecome
Indicates that one entity is expected or destined to change state or identity into another entity in the future.
-
D.
saidToHaveMade
Indicates that one entity is reported or alleged to have created, produced, or caused another entity or outcome.
-
E.
madeTo
Indicates that one entity is created, produced, or constructed for the purpose, use, or benefit of another entity.
- 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_69f76eeb0f7081908d6d3adbc469889c |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbbae559a8819086ef839973f8d9b2 |
completed | May 6, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69fbb1440fa08190abf25ba684f75b6e |
completed | May 6, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:19 p.m.