Triple
T29717014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cámara de Senadores |
E751939
|
entity |
| Predicate | renovación |
P167633
|
FINISHED |
| Object | total cada 5 años |
—
|
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: total cada 5 años | Statement: [Cámara de Senadores, renovación, total cada 5 años]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: renovación Context triple: [Cámara de Senadores, renovación, total cada 5 años]
-
A.
renews
Indicates that one entity extends, refreshes, or restores the validity, duration, or effectiveness of another entity, often continuing a prior agreement, state, or condition.
-
B.
wasRenovatedFor
Indicates that an existing entity underwent renovation specifically to serve the needs, purposes, or use of another entity.
-
C.
renovatedBy
Indicates that an entity has been improved, restored, or updated through renovation work performed by another entity.
-
D.
renovationOccasion
Indicates the event, reason, or context that serves as the occasion for a renovation to take place.
-
E.
renovatedAfter
Indicates that one entity was renovated at a later time than another entity.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69f6691da93081909deaf680614fc900 |
completed | May 2, 2026, 9:14 p.m. |
Created at: April 28, 2026, 7:34 p.m.