Triple
T24727992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 33rd Canadian Parliament |
E618206
|
entity |
| Predicate | chamberLanguage |
P157047
|
FINISHED |
| Object | French |
—
|
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: French | Statement: [33rd Canadian Parliament, chamberLanguage, French]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chamberLanguage Context triple: [33rd Canadian Parliament, chamberLanguage, French]
-
A.
chamberLanguage
chosen
Indicates the language officially used or predominantly spoken within a particular chamber, such as a legislative or deliberative body.
-
B.
chamberOf
Indicates that one entity is a chamber, room, or enclosed space that is part of, contained within, or assigned to another entity.
-
C.
forChamber
Indicates that something is intended for use in, associated with, or belonging to a particular chamber.
-
D.
chamber1
Indicates that an entity is a chamber or room, typically serving as an enclosed space within a larger structure.
-
E.
chamber2
Indicates that one entity serves as a secondary or inner chamber, room, or compartment associated with 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_69e2fab772608190b74163751047ff50 |
completed | April 18, 2026, 3:29 a.m. |
| NER | Named-entity recognition | batch_69f422aee0408190899efe7e24ef2b40 |
completed | May 1, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69f420e92cc88190a803aecdae78a051 |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 4:01 a.m.