Triple

T7078783
Position Surface form Disambiguated ID Type / Status
Subject Constitution of the Republic and Canton of Geneva E164889 entity
Predicate hasTypeOfNorm P2826 FINISHED
Object constitutional norm 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: constitutional norm | Statement: [Constitution of the Republic and Canton of Geneva, hasTypeOfNorm, constitutional norm]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTypeOfNorm
Context triple: [Constitution of the Republic and Canton of Geneva, hasTypeOfNorm, constitutional norm]
  • A. hasNorm
    Indicates that an entity is associated with, governed by, or characterized through a particular norm, rule, or standard.
  • B. hasNormativeCategory
    Indicates that something is associated with a particular normative category, such as a standard, rule, or evaluative classification that prescribes how it ought to be regarded or treated.
  • C. normType chosen
    Indicates the specific category or classification of a norm that governs or constrains an entity or situation.
  • D. hasStandardType
    Indicates that something conforms to or is categorized under a defined standard classification or type.
  • E. haveType
    Indicates that an entity belongs to or is classified under a specified type or category.
  • 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_69c6887cbc6c8190bdfac42d940f4d8a completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e4ef47d48190b31125d1b57f7bec completed March 27, 2026, 8:13 p.m.
PD Predicate disambiguation batch_69c6e1bfcb948190a5ada74fb8c054cb completed March 27, 2026, 8 p.m.
Created at: March 27, 2026, 2:40 p.m.