Triple

T36865921
Position Surface form Disambiguated ID Type / Status
Subject Goods and Services Tax (Canada) E911081 entity
Predicate exemptExamples P186600 FINISHED
Object most health care services 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: most health care services | Statement: [Goods and Services Tax (Canada), exemptExamples, most health care services]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: exemptExamples
Context triple: [Goods and Services Tax (Canada), exemptExamples, most health care services]
  • A. exemptedFrom
    Indicates that an entity is not subject to, or is formally released from, a rule, obligation, requirement, or liability that would otherwise apply.
  • B. providesExemptionsTo
    Indicates that one entity grants or offers exemptions, waivers, or exceptions from rules, obligations, or requirements to another entity.
  • C. exemptionType
    Indicates the specific category or kind of exemption that applies in a given context.
  • D. excludes
    Indicates that one entity deliberately omits, leaves out, or does not allow the inclusion of another entity within a set, group, or context.
  • E. excludedFrom
    Indicates that one entity is deliberately not included within the scope, membership, or applicability of another entity or set.
  • 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_69f76e80f6f0819091cba8e19b269615 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f9fe1a1ca4819084c196f0041f0be2 completed May 5, 2026, 2:26 p.m.
PD Predicate disambiguation batch_69f7cf7890008190a8bc355ff2d61c86 completed May 3, 2026, 10:43 p.m.
PDg Predicate description generation batch_69f9fd66eed48190bdc26a8def328c2d completed May 5, 2026, 2:23 p.m.
Created at: May 3, 2026, 4:13 p.m.