Triple

T20606422
Position Surface form Disambiguated ID Type / Status
Subject Supreme Court of Indonesia E506322 entity
Predicate doesNotHavePower P24117 FINISHED
Object judicial review of statutes against the Constitution 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: judicial review of statutes against the Constitution | Statement: [Supreme Court of Indonesia, doesNotHavePower, judicial review of statutes against the Constitution]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: doesNotHavePower
Context triple: [Supreme Court of Indonesia, doesNotHavePower, judicial review of statutes against the Constitution]
  • A. hasNoPowerOver chosen
    Indicates that one entity lacks authority, control, or influence over another entity or situation.
  • B. hadNoPower
    Indicates that an entity lacked authority, control, or ability to act or influence in a given situation or context.
  • C. hasNoSuperhumanPowers
    Indicates that the subject lacks any abilities or powers beyond those of a normal human.
  • D. hasPower
    Indicates that one entity possesses authority, control, or influence over another entity or over a particular domain or resource.
  • E. doesNotHave
    Indicates that one entity lacks, is missing, or is not in possession of another entity or attribute.
  • 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_69e0b4bb2b4081908fa4a72444120f35 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6aad394e8819080185187a8b3de93 completed April 20, 2026, 10:38 p.m.
PD Predicate disambiguation batch_69e5a00c43308190b7ea58d559257e07 completed April 20, 2026, 3:39 a.m.
Created at: April 16, 2026, 11:41 a.m.