Triple

T2518474
Position Surface form Disambiguated ID Type / Status
Subject President of the First Chamber E55466 entity
Predicate mayHaveRoleIn P28456 FINISHED
Object interpreting rules of procedure of the First Chamber 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: interpreting rules of procedure of the First Chamber | Statement: [President of the First Chamber, mayHaveRoleIn, interpreting rules of procedure of the First Chamber]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mayHaveRoleIn
Context triple: [President of the First Chamber, mayHaveRoleIn, interpreting rules of procedure of the First Chamber]
  • A. hasNotableRoleIn
    Indicates that an entity holds a significant or noteworthy role or function within another entity, event, work, or context.
  • B. roleInvolves
    Indicates that a particular role includes or requires participation in a specified activity, responsibility, or function.
  • C. possibleRole chosen
    Indicates that an entity is capable of or eligible to serve in a particular role or function in a given context.
  • D. hasOrganizationalRole
    Indicates that an entity holds a specific role, position, or function within an organization.
  • E. servesRole
    Indicates that one entity performs, fulfills, or occupies a particular function, position, or responsibility in relation to 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_69ab49e4749c8190813311efd1630f1b completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd5a33234819082ad49fa6594b6be completed March 7, 2026, 7:37 a.m.
PD Predicate disambiguation batch_69abd0bf37c0819088d28b5081ba7556 completed March 7, 2026, 7:16 a.m.
Created at: March 6, 2026, 9:46 p.m.