Triple

T34663985
Position Surface form Disambiguated ID Type / Status
Subject United States genocide determination (2004) E890199 entity
Predicate recognizedCrimes P49668 FINISHED
Object killings of civilians in Darfur 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: killings of civilians in Darfur | Statement: [United States genocide determination (2004), recognizedCrimes, killings of civilians in Darfur]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: recognizedCrimes
Context triple: [United States genocide determination (2004), recognizedCrimes, killings of civilians in Darfur]
  • A. recognitionOfCrimes chosen
    Indicates the formal acknowledgment or identification that certain actions or events constitute crimes under a legal or normative framework.
  • B. handledCrimes
    Indicates that an entity (such as a person or organization) took responsibility for dealing with, investigating, or managing specific crimes.
  • C. committedCrime
    Indicates that an entity has carried out or been responsible for a criminal act or offense.
  • D. crimeType
    Indicates the specific category or nature of the crime associated with an event or entity.
  • E. criminalType
    Indicates the specific category or classification of crime associated with a criminal act or offender.
  • 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_69f349d906bc8190b2efd9eff237d94b completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69fd592e48cc81909d754cc6c4bd99ae completed May 8, 2026, 3:31 a.m.
PD Predicate disambiguation batch_69fd58b7f9b881909dc099b28d567784 completed May 8, 2026, 3:30 a.m.
Created at: May 1, 2026, 2:04 a.m.