Triple
T23336191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Зея |
E591591
|
entity |
| Predicate | режим |
P4637
|
FINISHED |
| Object | выраженные паводки в тёплый период года |
—
|
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: выраженные паводки в тёплый период года | Statement: [Зея, режим, выраженные паводки в тёплый период года]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: режим Context triple: [Зея, режим, выраженные паводки в тёплый период года]
-
A.
mode
Indicates the manner, method, or way in which an action, process, or interaction is carried out or occurs.
-
B.
modeType
Indicates the specific manner, method, or operational mode in which an action, process, or system is carried out or functions.
-
C.
alternateMode
Indicates that one entity functions as an alternative form, configuration, or mode of operation for another entity.
-
D.
გაყინვის რეჟიმი
Indicates that something is in a freezing mode or operating under conditions intended to freeze or keep items frozen.
-
E.
modeADescription
chosen
Indicates the descriptive text or explanation associated with a particular mode of operation or state.
- 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_69e25d20156c81908c5c53195bd9c738 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f197f1e0588190bf073b92be0bf9e4 |
completed | April 29, 2026, 5:32 a.m. |
| PD | Predicate disambiguation | batch_69effcf8ca2c8190887d4f4656617d21 |
completed | April 28, 2026, 12:19 a.m. |
Created at: April 17, 2026, 5:16 p.m.