Triple
T34877142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cuban telephone numbering plan |
E1005908
|
entity |
| Predicate | regulatorRoleOfETECSA |
P63091
|
FINISHED |
| Object | assigns telephone numbers |
—
|
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: assigns telephone numbers | Statement: [Cuban telephone numbering plan, regulatorRoleOfETECSA, assigns telephone numbers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regulatorRoleOfETECSA Context triple: [Cuban telephone numbering plan, regulatorRoleOfETECSA, assigns telephone numbers]
-
A.
regulatorRole
chosen
Indicates that one entity serves in an official capacity to oversee, control, or enforce rules and standards governing another entity or activity.
-
B.
regulationRole
Indicates a role in which one entity regulates, controls, or modulates the behavior, activity, or state of another entity.
-
C.
regulatorType
Indicates the specific kind or category of regulatory role or authority associated with an entity.
-
D.
regulatorEstablished
Indicates that an entity has formally created, instituted, or set up a regulatory body or authority.
-
E.
regulatorsInvolved
Indicates that one or more regulatory authorities are involved in overseeing, reviewing, or influencing the referenced entity or activity.
- 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_69f76dbde1c08190a24e7f9beb564c8d |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd7e364a648190a1e9e1d9fc76e99e |
completed | May 8, 2026, 6:09 a.m. |
| PD | Predicate disambiguation | batch_69fd7bb547608190a3b04dddbca6b8bc |
completed | May 8, 2026, 5:59 a.m. |
Created at: May 3, 2026, 4 p.m.