Triple
T20775092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mesa de la Cámara de Diputadas y Diputados |
E511334
|
entity |
| Predicate | nivel |
P112328
|
FINISHED |
| Object | cámara baja |
—
|
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: cámara baja | Statement: [Mesa de la Cámara de Diputadas y Diputados, nivel, cámara baja]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nivel Context triple: [Mesa de la Cámara de Diputadas y Diputados, nivel, cámara baja]
-
A.
niveau
chosen
Indicates a relationship where an entity is associated with a particular level, degree, or stage within a scale, hierarchy, or progression.
-
B.
levels
Indicates that one entity adjusts, equalizes, or smooths out the height, intensity, or degree of another entity.
-
C.
nivelDeImportancia
Indicates the degree or level of importance assigned to something in relation to something else.
-
D.
levelNotation
Indicates the specific symbolic or textual notation used to represent the level, degree, or rank of something within a defined scale or hierarchy.
-
E.
difficulty
Indicates the level of challenge, complexity, or effort required to perform an action, solve a problem, or achieve a particular outcome.
- 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_69e0b4cac7a48190a715cb3d545df2b4 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c26a39bc81909ca5d102056d8586 |
completed | April 21, 2026, 12:18 a.m. |
| PD | Predicate disambiguation | batch_69e5c0550ec481908a0877fb2409d983 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 12:37 p.m.