Triple

T3106164
Position Surface form Disambiguated ID Type / Status
Subject Prosecutor v. Thomas Lubanga Dyilo E64834 entity
Predicate proceduralFeature P5048 FINISHED
Object extensive victim participation in proceedings 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: extensive victim participation in proceedings | Statement: [Prosecutor v. Thomas Lubanga Dyilo, proceduralFeature, extensive victim participation in proceedings]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: proceduralFeature
Context triple: [Prosecutor v. Thomas Lubanga Dyilo, proceduralFeature, extensive victim participation in proceedings]
  • A. processFeature
    Indicates that an entity performs or undergoes an operation that handles, transforms, or otherwise acts upon a specific feature.
  • B. createdFeature
    Indicates that one entity brought another entity into existence or caused it to be produced as a feature.
  • C. engineeringFeature
    Indicates that one entity serves as an engineering-related feature, component, or characteristic of another entity within a technical or designed system.
  • D. featureType chosen
    Indicates the specific kind or category of feature that characterizes or distinguishes an entity.
  • E. previousDesignFeature
    Indicates that one design feature precedes another in a sequence or earlier version of a design.
  • 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_69ad857eeaf48190b34ebfdaa7a264cf completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada29beff08190b6e1eb6b0608d0eb completed March 8, 2026, 4:23 p.m.
PD Predicate disambiguation batch_69ad9df25d4c81908ff0f6cff55d0563 completed March 8, 2026, 4:04 p.m.
Created at: March 8, 2026, 3:04 p.m.