Triple
T29717038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cámara de Senadores |
E751939
|
entity |
| Predicate | tieneSesiones |
P1266
|
FINISHED |
| Object | sesiones ordinarias |
—
|
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: sesiones ordinarias | Statement: [Cámara de Senadores, tieneSesiones, sesiones ordinarias]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tieneSesiones Context triple: [Cámara de Senadores, tieneSesiones, sesiones ordinarias]
-
A.
hasOnlineSessions
Indicates that an entity conducts or offers sessions, meetings, or activities via the internet rather than solely in person.
-
B.
hasSession
chosen
Indicates that an entity is associated with, participates in, or contains a particular session instance.
-
C.
meetsBetweenSessionsOf
Indicates that one entity meets another during the interval between scheduled sessions or events.
-
D.
sessionOf
Indicates that one entity is a session that belongs to, occurs within, or is associated with another entity (such as an event, course, or meeting series).
-
E.
heldSessionsIn
Indicates that an entity organized or conducted one or more sessions, meetings, or events at a specified location or venue.
- 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_69f6afebd7ec8190ab696f363d84abf0 |
completed | May 3, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69f6aca204148190850a3dc325bc07b7 |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 28, 2026, 7:34 p.m.