Triple
T21656912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Совет глав правительств ШОС |
E534490
|
entity |
| Predicate | частотаЗаседаний |
P2557
|
FINISHED |
| Object | как правило, один раз в год |
—
|
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: как правило, один раз в год | Statement: [Совет глав правительств ШОС, частотаЗаседаний, как правило, один раз в год]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: частотаЗаседаний Context triple: [Совет глав правительств ШОС, частотаЗаседаний, как правило, один раз в год]
-
A.
meetingFrequency
chosen
Indicates how often a meeting or recurring gathering takes place over a given period.
-
B.
meetingPeriod
Indicates the time span or duration during which a meeting takes place.
-
C.
convenesIn
Indicates that an entity brings together or assembles a group, meeting, or event at a specific place or venue.
-
D.
convenesOn
Indicates that an event, group, or body holds a meeting or session at a specific time or date.
-
E.
frequencyOfMinisterialMeetings
Indicates how often ministerial-level meetings occur within a given period or context.
- 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_69e0c467e1f48190af2650b19175abc4 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef5919c9c88190a2ddcf2cefee79a5 |
completed | April 27, 2026, 12:39 p.m. |
| PD | Predicate disambiguation | batch_69e696826c3c81909270791e79760937 |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:36 p.m.