Triple
T38157406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | მიხეილ სააკაშვილი |
E952922
|
entity |
| Predicate | გაიმარჯვა |
P190158
|
FINISHED |
| Object | 2004 წლის საქართველოს საპრეზიდენტო არჩევნები |
—
|
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: 2004 წლის საქართველოს საპრეზიდენტო არჩევნები | Statement: [მიხეილ სააკაშვილი, გაიმარჯვა, 2004 წლის საქართველოს საპრეზიდენტო არჩევნები]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: გაიმარჯვა Context triple: [მიხეილ სააკაშვილი, გაიმარჯვა, 2004 წლის საქართველოს საპრეზიდენტო არჩევნები]
-
A.
הנצחה
Indicates a relationship where someone or something is commemorated or memorialized so that their memory, deeds, or significance are preserved over time.
-
B.
Höhepunkt
Indicates the climax or peak point reached within an event, process, or development.
-
C.
أسقطوا
Indicates that one or more agents caused something or someone to fall, drop, or be brought down (literally or figuratively).
-
D.
გვარი
Indicates a relationship where one entity is the family name or surname of another entity.
-
E.
التأثير
Indicates a relationship where one entity produces a change or has an influence on another entity or its state.
- 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.