Triple
T38157416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | მიხეილ სააკაშვილი |
E952922
|
entity |
| Predicate | დასაჯეს |
P190161
|
FINISHED |
| Object | საქართველოს სასამართლომ კორუფციულ საქმეებზე არარსებობისას |
—
|
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 სასამართლომ კორუფციულ საქმეებზე არარსებობისას | Statement: [მიხეილ სააკაშვილი, დასაჯეს, საქართველოს სასამართლომ კორუფციულ საქმეებზე არარსებობისას]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: დასაჯეს Context triple: [მიხეილ სააკაშვილი, დასაჯეს, საქართველოს სასამართლომ კორუფციულ საქმეებზე არარსებობისას]
-
A.
საფარი
Indicates that one entity serves as a covering, coating, or protective layer over another entity.
-
B.
הנצחה
Indicates a relationship where someone or something is commemorated or memorialized so that their memory, deeds, or significance are preserved over time.
-
C.
მეუღლე
Indicates a spousal relationship between two people, where each is the legally or socially recognized husband or wife of the other.
-
D.
Gelände
Indicates a relationship where something is located on, takes place in, or is associated with a specific area of land or terrain.
-
E.
الغطاء النباتي
Indicates the presence, extent, or characteristics of plant cover in a given area.
- F. None of above. chosen
Provenance (4 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_69f76f0b93c48190a117319ab3a9f282 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcb089a8f881909aa9e722babd43f7 |
completed | May 7, 2026, 3:32 p.m. |
| PD | Predicate disambiguation | batch_69fc45666c5c8190913bd632ac0e5b84 |
completed | May 7, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69fcb088aac481909db90804faff315f |
completed | May 7, 2026, 3:32 p.m. |
Created at: May 3, 2026, 4:21 p.m.