Triple
T5343299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reglamento de la Cámara de Diputadas y Diputados |
E123992
|
entity |
| Predicate | nivelNormativo |
P4976
|
FINISHED |
| Object | norma infralegal |
—
|
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: norma infralegal | Statement: [Reglamento de la Cámara de Diputadas y Diputados, nivelNormativo, norma infralegal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nivelNormativo Context triple: [Reglamento de la Cámara de Diputadas y Diputados, nivelNormativo, norma infralegal]
-
A.
levelOfNorm
Indicates the degree or extent to which something conforms to a specified norm, standard, or expected behavior.
-
B.
normativeFor
Indicates that something establishes, prescribes, or encodes the norms, standards, or rules that should govern another thing’s behavior or state.
-
C.
normIs
Indicates that something conforms to, or is characterized by, a particular standard, rule, or norm.
-
D.
legalAuthorityLevel
chosen
Indicates the degree or rank of formal legal power or jurisdiction an entity holds in relation to another or within a given context.
-
E.
regulatoryStandard
Indicates that one entity serves as an official rule, guideline, or benchmark that governs, constrains, or evaluates the behavior, quality, or performance of 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_69bd464be27081908807b40b75c1bbae |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd85e86edc81908d87933db6489f91 |
completed | March 20, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69bd845a62b081909782863865b257a9 |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:01 p.m.