Triple
T23371979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Матуа |
E593498
|
entity |
| Predicate | подверженЯвлению |
P583
|
FINISHED |
| Object | частые туманы |
—
|
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: частые туманы | Statement: [Матуа, подверженЯвлению, частые туманы]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: подверженЯвлению Context triple: [Матуа, подверженЯвлению, частые туманы]
-
A.
phenomenon
Indicates that an entity is a perceptible event, occurrence, or process that can be observed or experienced.
-
B.
susceptibleTo
chosen
Indicates that one entity is vulnerable or likely to be affected, harmed, or influenced by another entity or factor.
-
C.
affectsPhenomenon
Indicates that one phenomenon produces an influence or change on another phenomenon.
-
D.
examplePhenomenon
Indicates a representative or illustrative occurrence used to demonstrate or clarify a broader phenomenon or pattern.
-
E.
encounteredPhenomenon
Indicates that an entity has come across, experienced, or observed a particular phenomenon.
- 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_69e25d2593c88190bcdf4a716a94ccb2 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a3af45ec8190a32aa4e5f04f6756 |
completed | April 29, 2026, 6:22 a.m. |
| PD | Predicate disambiguation | batch_69f061c7aaa48190a58ce93f87155ffc |
completed | April 28, 2026, 7:29 a.m. |
Created at: April 17, 2026, 5:32 p.m.