Triple

T4071739
Position Surface form Disambiguated ID Type / Status
Subject Jatiya Sangsad E86662 entity
Predicate speakerRole P53328 FINISHED
Object presiding officer of the parliament 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: presiding officer of the parliament | Statement: [Jatiya Sangsad, speakerRole, presiding officer of the parliament]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: speakerRole
Context triple: [Jatiya Sangsad, speakerRole, presiding officer of the parliament]
  • A. speakerType
    Indicates the role or category of a participant in a communicative act (e.g., narrator, quoted speaker, system voice) within a given context.
  • B. narratorRole
    Indicates that one entity serves as the narrator of another entity (such as a story, text, or media work), specifying the narrative role or function it performs.
  • C. roleInDialogue
    Indicates that an entity participates in a dialogue with a specific conversational role (e.g., speaker, listener, moderator) relative to other participants.
  • D. roleInScene
    Indicates that an entity participates in a particular scene with a specific role or function within that scene.
  • E. voiceActingRole
    Indicates that one entity performs the voice acting for a character or role in a work associated with the other entity.
  • 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_69aed93ebe448190a1f1686e28740ac9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefc20ed788190bd935082a348a05d completed March 9, 2026, 4:58 p.m.
PD Predicate disambiguation batch_69aef9061d2481908307cafc9e9b32c0 completed March 9, 2026, 4:44 p.m.
PDg Predicate description generation batch_69aefa5c52648190b001027f4dba75cb completed March 9, 2026, 4:50 p.m.
Created at: March 9, 2026, 3:38 p.m.