Triple

T4767133
Position Surface form Disambiguated ID Type / Status
Subject Burgundian Kingdom (early phase) E105840 entity
Predicate legalPolicy P22522 FINISHED
Object separate laws for Romans and Burgundians 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: separate laws for Romans and Burgundians | Statement: [Burgundian Kingdom (early phase), legalPolicy, separate laws for Romans and Burgundians]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: legalPolicy
Context triple: [Burgundian Kingdom (early phase), legalPolicy, separate laws for Romans and Burgundians]
  • A. lawStatement chosen
    Indicates that an entity expresses, codifies, or articulates a legal rule, principle, or requirement.
  • B. 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.
  • C. policyLanguage
    Indicates the specific wording or formulation used within a policy to express its rules, conditions, or provisions.
  • D. explainsPolicy
    Indicates that one entity provides a clarification or detailed description of a policy to another entity.
  • E. dataPolicy
    Indicates that one entity defines or governs how data related to another entity is collected, used, stored, or shared.
  • 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_69bd43f226fc8190b867cc249c2a9042 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd686ef1b08190ad60375592c9d6c0 completed March 20, 2026, 3:31 p.m.
PD Predicate disambiguation batch_69bd622807f881908e4bcb14f7731bac completed March 20, 2026, 3:05 p.m.
Created at: March 20, 2026, 1:21 p.m.