Triple

T3168498
Position Surface form Disambiguated ID Type / Status
Subject House of Lords Committee for Privileges and Conduct E66267 entity
Predicate typeOfSanctionsConsidered P18137 FINISHED
Object reprimand 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: reprimand | Statement: [House of Lords Committee for Privileges and Conduct, typeOfSanctionsConsidered, reprimand]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typeOfSanctionsConsidered
Context triple: [House of Lords Committee for Privileges and Conduct, typeOfSanctionsConsidered, reprimand]
  • A. typeOfSanction chosen
    Indicates the specific category or kind of sanction that is applied in a given situation.
  • B. canBeSanctionedFor
    Indicates that an entity is subject to penalties or disciplinary measures as a consequence of a specified action, behavior, or condition.
  • C. countrySubjectToSanctions
    Indicates that a country is currently facing formal sanctions or restrictive measures imposed by another state or international body.
  • D. reasonForSanctions
    Indicates the underlying cause or justification for imposing sanctions on an entity.
  • E. canImposeSanctions
    Indicates that one entity has the authority or power to apply punitive or restrictive measures (sanctions) against 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_69ad8585d7988190af37365331093ccd completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada64726048190933dbdc44258703e completed March 8, 2026, 4:39 p.m.
PD Predicate disambiguation batch_69ad9dfe0a948190928f2201d671c654 completed March 8, 2026, 4:04 p.m.
Created at: March 8, 2026, 3:06 p.m.