Triple

T563231
Position Surface form Disambiguated ID Type / Status
Subject Article III of the Convention on the Prevention and Punishment of the Crime of Genocide E13498 entity
Predicate definesCrimeOf P4725 FINISHED
Object genocide 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: genocide | Statement: [Article III of the Convention on the Prevention and Punishment of the Crime of Genocide, definesCrimeOf, genocide]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: definesCrimeOf
Context triple: [Article III of the Convention on the Prevention and Punishment of the Crime of Genocide, definesCrimeOf, genocide]
  • A. crimeType
    Indicates the specific category or nature of the crime associated with an event or entity.
  • B. committedCrime
    Indicates that an entity has carried out or been responsible for a criminal act or offense.
  • C. crimeListedInArticleIII chosen
    Indicates that a particular crime is one of the offenses expressly mentioned in Article III of the relevant constitution or legal document.
  • D. guiltyOf
    Indicates that an entity has been judged or determined to have committed a particular offense, crime, or wrongful act.
  • E. convictedOf
    Indicates that a person or entity has been found guilty of committing a specified offense or crime through a formal legal process.
  • 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_69a4933edcf08190b35ecfd6014caee6 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49a712bc48190ba298b3c76ab11cc completed March 1, 2026, 7:58 p.m.
PD Predicate disambiguation batch_69a494c044648190a98589ab18935216 completed March 1, 2026, 7:34 p.m.
Created at: March 1, 2026, 7:32 p.m.