Triple
T8203539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Nations Chief Executives Board for Coordination |
E191634
|
entity |
| Predicate | hasSessionFrequency |
P29070
|
FINISHED |
| Object | twice a year |
—
|
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: twice a year | Statement: [United Nations Chief Executives Board for Coordination, hasSessionFrequency, twice a year]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSessionFrequency Context triple: [United Nations Chief Executives Board for Coordination, hasSessionFrequency, twice a year]
-
A.
hasEventFrequency
chosen
Indicates how often a particular event occurs within a given time period.
-
B.
hasCommunicationFrequency
Indicates how often communication occurs between the related entities.
-
C.
hasSeasonFrequency
Indicates how often something occurs or is scheduled within a specific season.
-
D.
hasFrequencyCategory
Indicates that something is associated with a particular classification of how often it occurs or is used.
-
E.
serviceFrequencyType
Indicates how often a service occurs or is scheduled within a given time period.
- 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_69ca82c7f3e08190857bf1fc63b2a10c |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb5df9cac08190a890ded4c7fbd393 |
completed | March 31, 2026, 5:39 a.m. |
| PD | Predicate disambiguation | batch_69cb36ad01ac81909609b15f6a6c8581 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:43 p.m.