Triple
T29717023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cámara de Senadores |
E751939
|
entity |
| Predicate | discute |
P51889
|
FINISHED |
| Object | proyectos de ley |
—
|
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: proyectos de ley | Statement: [Cámara de Senadores, discute, proyectos de ley]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: discute Context triple: [Cámara de Senadores, discute, proyectos de ley]
-
A.
discussed
chosen
Indicates that one entity talked about, examined, or debated a topic, issue, or other entity with someone else.
-
B.
discourse
Indicates that one entity engages in extended verbal or written communication or discussion with another entity.
-
C.
discussionPublic
Indicates that a discussion is accessible to the general public rather than being restricted or private.
-
D.
discussedAs
Indicates that one entity is talked about, treated, or examined in terms of another entity, often as an example, case, or framing concept.
-
E.
debatedWithin
Indicates that something is discussed or argued about within a particular group, context, or domain.
- 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_69f674e06c9481909ed0ea736408f0d7 |
completed | May 2, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69f673c4abec8190bc2379e66f4af0a9 |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 28, 2026, 7:34 p.m.