Triple
T29717036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cámara de Senadores |
E751939
|
entity |
| Predicate | tieneReglamento |
P6248
|
FINISHED |
| Object | Reglamento de la Cámara de Senadores |
—
|
NE NERFINISHED |
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: Reglamento de la Cámara de Senadores | Statement: [Cámara de Senadores, tieneReglamento, Reglamento de la Cámara de Senadores]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tieneReglamento Context triple: [Cámara de Senadores, tieneReglamento, Reglamento de la Cámara de Senadores]
-
A.
hasRegulations
Indicates that one entity imposes, contains, or is associated with rules or regulatory requirements that govern the behavior or operation of another entity.
-
B.
hasRulebook
chosen
Indicates that one entity possesses, is governed by, or is associated with a specific rulebook.
-
C.
regulatingRules
Indicates that one entity establishes or enforces rules or standards that govern or control the behavior, operation, or conditions of another entity.
-
D.
hasRegulatedBy
Indicates that one entity is subject to control, governance, or rules imposed by another entity.
-
E.
displayRegulation
Indicates that an entity presents or shows a regulation or set of rules, making it visible or accessible to others.
- 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_69f0d628c00c8190ab5ee7e423d7ec3c |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f6aaf50be08190a2b62a6d881f8aee |
completed | May 3, 2026, 1:55 a.m. |
| PD | Predicate disambiguation | batch_69f6aa1c555081908787dbf76147f180 |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 28, 2026, 7:34 p.m.