Triple
T20775105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mesa de la Cámara de Diputadas y Diputados |
E511334
|
entity |
| Predicate | tipoDeMiembros |
P52477
|
FINISHED |
| Object | parlamentarios en ejercicio |
—
|
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: parlamentarios en ejercicio | Statement: [Mesa de la Cámara de Diputadas y Diputados, tipoDeMiembros, parlamentarios en ejercicio]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tipoDeMiembros Context triple: [Mesa de la Cámara de Diputadas y Diputados, tipoDeMiembros, parlamentarios en ejercicio]
-
A.
clubMembershipType
Indicates the specific category or level of membership that an entity holds within a club.
-
B.
typeOfMembershipBody
chosen
Indicates the specific kind or category of membership that an entity holds within a body or organization.
-
C.
membershipBy
Indicates that one entity holds membership or belongs to a group, organization, or collection defined by another entity.
-
D.
memberCategory
Indicates that an entity belongs to or is classified under a specific category or group.
-
E.
countryMembershipType
Indicates the type or category of membership a country has within an organization, agreement, or grouping.
- 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.