Triple

T17998055
Position Surface form Disambiguated ID Type / Status
Subject Backbench Business Committee E430552 entity
Predicate excludesFromMembership P3119 FINISHED
Object government ministers 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: government ministers | Statement: [Backbench Business Committee, excludesFromMembership, government ministers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: excludesFromMembership
Context triple: [Backbench Business Committee, excludesFromMembership, government ministers]
  • A. excludedFrom
    Indicates that one entity is deliberately not included within the scope, membership, or applicability of another entity or set.
  • B. notMemberOf
    Indicates that an entity does not belong to, is not included in, or is not a part of a specified group, set, or collection.
  • C. losesMembershipWhen
    Indicates that an entity ceases to be a member of another entity or group when a specified condition or event occurs.
  • D. excludes chosen
    Indicates that one entity deliberately omits, leaves out, or does not allow the inclusion of another entity within a set, group, or context.
  • E. excludedFromFranchise
    Indicates that an entity is not allowed to participate in or benefit from a particular franchise or franchising arrangement.
  • 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_69d8b90364248190a37381adea932f42 completed April 10, 2026, 8:46 a.m.
NER Named-entity recognition batch_69e4b3e6a2a881908af2d0a4a5053916 completed April 19, 2026, 10:52 a.m.
PD Predicate disambiguation batch_69e3f90039e4819080527f860dca042e completed April 18, 2026, 9:34 p.m.
Created at: April 10, 2026, 10:23 a.m.