Triple
T5740712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 43rd Canadian Parliament |
E126606
|
entity |
| Predicate | usedHybridSittings |
P65580
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [43rd Canadian Parliament, usedHybridSittings, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedHybridSittings Context triple: [43rd Canadian Parliament, usedHybridSittings, true]
-
A.
numberOfSittings
Indicates the total count of distinct sittings or sessions associated with an entity or event.
-
B.
seatingConfiguration
Indicates how seats are arranged or organized relative to each other in a given context.
-
C.
hasHybridization
Indicates that one entity participates in or results from a hybridization process involving another entity.
-
D.
hasHybridSpecies
Indicates that one entity is a hybrid species that results from the combination or crossbreeding of another entity (or entities).
-
E.
numberOfCommonsSeats
Indicates the number of seats an entity holds or is allocated in the House of Commons.
- 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_69c0083179548190b384b0bf3c08ca4d |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0255f302c819094f97b4defeded07 |
completed | March 22, 2026, 5:22 p.m. |
| PD | Predicate disambiguation | batch_69c021c8195481909419808b002628aa |
completed | March 22, 2026, 5:07 p.m. |
| PDg | Predicate description generation | batch_69c022a50c048190aff24c63e7039dd6 |
completed | March 22, 2026, 5:11 p.m. |
Created at: March 22, 2026, 3:48 p.m.