Triple
T38157411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | მიხეილ სააკაშვილი |
E952922
|
entity |
| Predicate | დაკავშირებულია კონფლიქტთან |
P171580
|
FINISHED |
| Object | 2008 წლის რუსეთ-საქართველოს ომი |
—
|
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 წლის რუსეთ-საქართველოს ომი | Statement: [მიხეილ სააკაშვილი, დაკავშირებულია კონფლიქტთან, 2008 წლის რუსეთ-საქართველოს ომი]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: დაკავშირებულია კონფლიქტთან Context triple: [მიხეილ სააკაშვილი, დაკავშირებულია კონფლიქტთან, 2008 წლის რუსეთ-საქართველოს ომი]
-
A.
relateradKonflikt
Indicates that there is a related or associated conflict between the entities involved.
-
B.
conflictRelation
Indicates a relationship in which two or more entities are in opposition, disagreement, or incompatibility, often involving competing goals, interests, or actions.
-
C.
hasPartOfConflict
Indicates that one conflict includes another conflict as a constituent or subordinate part of it.
-
D.
conflictRelatedStatus
Indicates a status or condition that is directly associated with, affected by, or resulting from a conflict.
-
E.
conflictsInvolvedIn
chosen
Indicates that an entity participates as a party or actor in one or more conflicts.
- 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_69fcc42cbac48190b8d3e4c9ce140838 |
completed | May 7, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69fcb0fc69c88190800453eb57a7e62c |
completed | May 7, 2026, 3:34 p.m. |
Created at: May 3, 2026, 4:21 p.m.