Triple

T1927066
Position Surface form Disambiguated ID Type / Status
Subject Federal Constitutional Law "On the Government of the Russian Federation" E40855 entity
Predicate typeOfNorms P2826 FINISHED
Object organizational norms 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: organizational norms | Statement: [Federal Constitutional Law "On the Government of the Russian Federation", typeOfNorms, organizational norms]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typeOfNorms
Context triple: [Federal Constitutional Law "On the Government of the Russian Federation", typeOfNorms, organizational norms]
  • A. normativeFor
    Indicates that something establishes, prescribes, or encodes the norms, standards, or rules that should govern another thing’s behavior or state.
  • B. normType chosen
    Indicates the specific category or classification of a norm that governs or constrains an entity or situation.
  • C. hasNorm
    Indicates that an entity is associated with, governed by, or characterized through a particular norm, rule, or standard.
  • D. normIs
    Indicates that something conforms to, or is characterized by, a particular standard, rule, or norm.
  • E. legalStandardType
    Indicates the specific type or category of legal standard that governs or applies to a given legal rule, decision, or evaluation.
  • 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_69a8864711648190b07bed24ed76258e completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb263cdb8819084d0bda98a2a71e0 completed March 7, 2026, 5:06 a.m.
PD Predicate disambiguation batch_69abafeec6f881909d47acb966683279 completed March 7, 2026, 4:56 a.m.
Created at: March 4, 2026, 7:35 p.m.