Triple
T30574532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canada Health Act |
E778206
|
entity |
| Predicate | numberOfMainPrinciples |
P36421
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [Canada Health Act, numberOfMainPrinciples, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfMainPrinciples Context triple: [Canada Health Act, numberOfMainPrinciples, 5]
-
A.
principlesCount
chosen
Indicates the number of principles associated with or applicable to a given entity or context.
-
B.
typeOfPrinciples
Indicates a relationship where one entity specifies the kind or category of principles that another entity embodies, uses, or is governed by.
-
C.
providesPrinciplesFor
Indicates that one entity supplies the foundational rules, guidelines, or theoretical basis that another entity follows or is built upon.
-
D.
outlinesPrinciple
Indicates that one entity explicitly states or defines a guiding rule, concept, or fundamental principle for another entity.
-
E.
principleClarified
Indicates that a principle has been made clearer or more explicit, typically by explanation, refinement, or elaboration.
- 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_69f2249f8c148190ae7eb3912cde112a |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a007fc9d9688190af411d5841af34be |
completed | May 10, 2026, 12:53 p.m. |
| PD | Predicate disambiguation | batch_6a007f64813081909a2950336402073b |
completed | May 10, 2026, 12:51 p.m. |
Created at: April 29, 2026, 8:22 p.m.