Triple
T230112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Council of State of Cuba |
E4392
|
entity |
| Predicate | canConvene |
P982
|
FINISHED |
| Object | sessions of the National Assembly of People's Power |
—
|
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: sessions of the National Assembly of People's Power | Statement: [Council of State of Cuba, canConvene, sessions of the National Assembly of People's Power]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canConvene Context triple: [Council of State of Cuba, canConvene, sessions of the National Assembly of People's Power]
-
A.
convenesIn
Indicates that an entity brings together or assembles a group, meeting, or event at a specific place or venue.
-
B.
convenesBefore
Indicates that one event or gathering is convened and completed before another specified event or gathering begins.
-
C.
convenes
chosen
Indicates bringing people or groups together to formally meet, discuss, or deliberate on a particular matter.
-
D.
canBe
Indicates that one entity has the potential, permission, or capability to become, perform as, or be classified as another entity.
-
E.
canMake
Indicates that one entity has the ability or capacity to create, produce, or assemble another entity.
- 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_69a257363ffc81909757bde7ab3404da |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25e0868708190ad551ca06cc57f4a |
completed | Feb. 28, 2026, 3:16 a.m. |
| PD | Predicate disambiguation | batch_69a25b5a075081909b0e9b88c1492d5a |
completed | Feb. 28, 2026, 3:04 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.