Triple

T5233258
Position Surface form Disambiguated ID Type / Status
Subject Dewan Perwakilan Daerah E118157 entity
Predicate canGiveConsiderationOn P16233 FINISHED
Object draft state budget related to regions 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 state budget related to regions | Statement: [Dewan Perwakilan Daerah, canGiveConsiderationOn, draft state budget related to regions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: canGiveConsiderationOn
Context triple: [Dewan Perwakilan Daerah, canGiveConsiderationOn, draft state budget related to regions]
  • A. wouldProvide
    Indicates that one entity is willing or expected to supply or furnish something to another entity under certain conditions.
  • B. couldConsider chosen
    Indicates that one entity has the potential or option to take another entity into account when making a decision, judgment, or evaluation.
  • C. canBe
    Indicates that one entity has the potential, permission, or capability to become, perform as, or be classified as another entity.
  • D. canAward
    Indicates that one entity has the authority or ability to grant an award, honor, or recognition to another entity.
  • 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_69bd4466fb8c819083b806a79414d7e4 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b0389048190b55b7c44fe657044 completed March 20, 2026, 4:51 p.m.
PD Predicate disambiguation batch_69bd77bf1ef08190bb3487b3f3ee088c completed March 20, 2026, 4:37 p.m.
Created at: March 20, 2026, 1:49 p.m.