Triple
T21882082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Presidente del Senado de la República |
E540311
|
entity |
| Predicate | tieneFacultadDe |
P60208
|
FINISHED |
| Object | conceder el uso de la palabra a los senadores |
—
|
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: conceder el uso de la palabra a los senadores | Statement: [Presidente del Senado de la República, tieneFacultadDe, conceder el uso de la palabra a los senadores]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tieneFacultadDe Context triple: [Presidente del Senado de la República, tieneFacultadDe, conceder el uso de la palabra a los senadores]
-
A.
hasFaculty
Indicates that an institution or department possesses or is associated with one or more faculty members.
-
B.
hasFacultyIn
Indicates that an institution or organization has faculty members associated with or working in a particular department, field, or academic unit.
-
C.
facultadOtorgada
chosen
Indicates that an authority or power has been granted by one entity to another.
-
D.
hasUniversityFaculty
Indicates that a university or academic institution employs or is associated with one or more faculty members.
-
E.
otorgaFacultadA
Indicates that one entity grants authority, power, or a specific faculty to 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_69e0c479a98081908ce333853fdd4348 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f118e890088190aa3023c78a99a536 |
completed | April 28, 2026, 8:30 p.m. |
| PD | Predicate disambiguation | batch_69e6be9a65888190a66598d62d20366c |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 7:04 p.m.