Triple

T13200431
Position Surface form Disambiguated ID Type / Status
Subject The System of Basic English E314224 entity
Predicate lexicalPolicy P93153 FINISHED
Object limit synonyms 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: limit synonyms | Statement: [The System of Basic English, lexicalPolicy, limit synonyms]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: lexicalPolicy
Context triple: [The System of Basic English, lexicalPolicy, limit synonyms]
  • A. languagePolicyAspect chosen
    Indicates an aspect or component of a broader language policy, such as its goals, rules, or implementation measures.
  • B. languagePolicyType
    Indicates the specific category or type of language policy that governs how languages are used, managed, or regulated in a given context.
  • C. editingPolicy
    Indicates that one entity defines or enforces the rules, constraints, or procedures governing how another entity may be edited or modified.
  • D. keyPolicy
    Indicates that a specified policy governs the creation, use, management, or access control of a particular key.
  • E. governingPolicy
    Indicates that one entity serves as the authoritative policy or set of rules that directs, constrains, or regulates the behavior, operation, or decisions of another entity.
  • 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_69d806aee7308190b70a237ba2a6e3e1 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98cf054f88190b05ced98d5a22a62 completed April 10, 2026, 11:51 p.m.
PD Predicate disambiguation batch_69d98bc6bc108190b5a6a265bf6e9fd4 completed April 10, 2026, 11:46 p.m.
Created at: April 9, 2026, 9:16 p.m.