Triple

T3343509
Position Surface form Disambiguated ID Type / Status
Subject Shura Council (Qatar) E70313 entity
Predicate canReject P9445 FINISHED
Object draft laws 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: draft laws | Statement: [Shura Council (Qatar), canReject, draft laws]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: canReject
Context triple: [Shura Council (Qatar), canReject, draft laws]
  • A. mayReject
    Indicates that one entity has the authority or option to refuse, decline, or not accept another entity or proposal.
  • B. canRejectBills chosen
    Indicates the authority or power an entity has to refuse approval of proposed bills or legislative measures.
  • C. canConfirm
    Indicates that one entity has the ability or authority to verify the truth, validity, or occurrence of something related to another entity or event.
  • D. canPass
    Indicates that one entity is able or permitted to move through, cross, or successfully traverse another entity or barrier.
  • E. canElect
    Indicates that one entity has the authority or ability to choose another entity for a position, role, or office through an election process.
  • 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_69ad85a405e48190b6e68de7cf9f319e completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb1f06f8c8190a6b7c56ac3f5ff07 completed March 8, 2026, 5:29 p.m.
PD Predicate disambiguation batch_69ada42df1d48190874bb05f95deefde completed March 8, 2026, 4:30 p.m.
Created at: March 8, 2026, 3:12 p.m.