Triple

T11159327
Position Surface form Disambiguated ID Type / Status
Subject Reference re Senate Reform E263992 entity
Predicate neutralCitation P98158 FINISHED
Object 2014 SCC 32 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: 2014 SCC 32 | Statement: [Reference re Senate Reform, neutralCitation, 2014 SCC 32]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: neutralCitation
Context triple: [Reference re Senate Reform, neutralCitation, 2014 SCC 32]
  • A. neutralized
    Indicates that one entity has rendered another entity ineffective, harmless, or no longer able to exert its intended effect.
  • B. usesNeutral
    Indicates that one entity employs or applies something in a neutral, unbiased, or non-aligned manner toward another entity or context.
  • C. neutralSiteState
    Indicates that a site or location is in a neutral, non-aligned, and non-active state with respect to the relevant interaction or conflict.
  • D. nonPartisan
    Indicates that an entity is not affiliated with, influenced by, or acting on behalf of any political party or partisan interest.
  • E. isNeutralAbout
    Indicates that one entity has no strong positive or negative opinion, preference, or stance toward another entity or subject.
  • 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_69d6aa9ccddc8190868998c8b7beb060 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e87fe9a881909540ecc4ed9b6b9f completed April 9, 2026, 5:57 p.m.
PD Predicate disambiguation batch_69d75cec26fc8190a5497d186306f935 completed April 9, 2026, 8:01 a.m.
PDg Predicate description generation batch_69d7706116248190a87440bec3960884 completed April 9, 2026, 9:24 a.m.
Created at: April 8, 2026, 9:28 p.m.