Triple
T20337120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ცხინვალი |
E495642
|
entity |
| Predicate | მთავარი ომი |
P5051
|
FINISHED |
| Object | რუსეთ-საქართველოს ომი 2008 წელს |
—
|
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: რუსეთ-საქართველოს ომი 2008 წელს | Statement: [ცხინვალი, მთავარი ომი, რუსეთ-საქართველოს ომი 2008 წელს]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: მთავარი ომი Context triple: [ცხინვალი, მთავარი ომი, რუსეთ-საქართველოს ომი 2008 წელს]
-
A.
thirdMajorWar
Indicates that the entities are involved in, associated with, or constitute the third major war in a given historical or contextual sequence.
-
B.
majorWar
chosen
Indicates a large-scale, intense armed conflict between major powers or involving substantial military forces and widespread impact.
-
C.
secondMajorWar
Indicates that the referenced conflict is the second major war in a series or sequence of large-scale wars involving the same primary parties or context.
-
D.
worldWar
Indicates a large-scale armed conflict involving multiple nations across different regions of the world, typically encompassing numerous battles, alliances, and theaters of war.
-
E.
warName
Indicates the specific name or title assigned to a particular war or armed conflict.
- 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_69e0b4a1a09881908d97270d6971a25a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e677ed75e081909bfc534033ac1c59 |
completed | April 20, 2026, 7:01 p.m. |
| PD | Predicate disambiguation | batch_69e5762655ac8190a8cc48a29fa2c0c4 |
completed | April 20, 2026, 12:41 a.m. |
Created at: April 16, 2026, 11:23 a.m.