Triple
T38157395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | მიხეილ სააკაშვილი |
E952922
|
entity |
| Predicate | საქართველოს პრეზიდენტის მეორე ვადის დაწყება |
P5111
|
FINISHED |
| Object | 2008-01-20 |
—
|
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: 2008-01-20 | Statement: [მიხეილ სააკაშვილი, საქართველოს პრეზიდენტის მეორე ვადის დაწყება, 2008-01-20]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: საქართველოს პრეზიდენტის მეორე ვადის დაწყება Context triple: [მიხეილ სააკაშვილი, საქართველოს პრეზიდენტის მეორე ვადის დაწყება, 2008-01-20]
-
A.
საქართველოს პრეზიდენტის პირველი ვადის დაწყება
Indicates the starting point in time when the President of Georgia begins serving their first term in office.
-
B.
საქართველოს პრეზიდენტის პირველი ვადის დასრულება
Indicates the completion of the first presidential term of Georgia’s president.
-
C.
termStartOfSecondGovernment
Indicates that a given time or event marks the beginning of the second term of a particular government.
-
D.
inceptionOfSecondPresidency
chosen
Indicates the event or point in time when an entity begins its second term in a presidential office.
-
E.
startTimeOfSecondGubernatorialTerm
Indicates the date and time when an individual’s second term as governor officially begins.
- 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_69f76f0b93c48190a117319ab3a9f282 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcd867f36081908c88c55a6a1404c1 |
completed | May 7, 2026, 6:22 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f47b188190b4cf4b4c748d9d03 |
completed | May 7, 2026, 5:55 p.m. |
Created at: May 3, 2026, 4:21 p.m.