Triple
T29717022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cámara de Senadores |
E751939
|
entity |
| Predicate | aprueba |
P547
|
FINISHED |
| Object | leyes nacionales |
—
|
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: leyes nacionales | Statement: [Cámara de Senadores, aprueba, leyes nacionales]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aprueba Context triple: [Cámara de Senadores, aprueba, leyes nacionales]
-
A.
approves
chosen
Indicates that one entity formally accepts, authorizes, or agrees to a proposal, action, or decision made by another entity.
-
B.
approvalFor
Indicates that one entity grants or has granted permission or consent for another entity’s action, request, or status.
-
C.
approvedAs
Indicates that one entity has been officially accepted, authorized, or validated in a particular role, status, or capacity by another entity.
-
D.
approvedBy
Indicates that an action, request, or item has received formal authorization or consent from a specified entity.
-
E.
approvedAfter
Indicates that one entity grants formal approval to another entity or event only after a specified prior event or condition has occurred.
- 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_69f672dd9ab881908969657a9bd48098 |
completed | May 2, 2026, 9:55 p.m. |
| PD | Predicate disambiguation | batch_69f6659f246081909821c5f452d14e8f |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 28, 2026, 7:34 p.m.