Triple

T2856063
Position Surface form Disambiguated ID Type / Status
Subject SS Main Economic and Administrative Office E63201 entity
Predicate defendantsTriedFor P14998 FINISHED
Object war crimes and crimes against humanity 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: war crimes and crimes against humanity | Statement: [SS Main Economic and Administrative Office, defendantsTriedFor, war crimes and crimes against humanity]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: defendantsTriedFor
Context triple: [SS Main Economic and Administrative Office, defendantsTriedFor, war crimes and crimes against humanity]
  • A. typicalDefendants
    Indicates that the referenced entities are the ones most commonly or characteristically serving as defendants in the relevant legal context.
  • B. wasTriedFor chosen
    Indicates that a person or entity underwent a formal legal proceeding in which they were judged in relation to a specific alleged offense or charge.
  • C. numberOfAcquittals
    Indicates the count of instances in which an entity has been formally acquitted of charges or accusations.
  • D. convictedBy
    Indicates that an authority, typically a court or judge, has formally found an entity guilty of a crime or offense.
  • E. triedBy
    Indicates that an entity has made an attempt to perform an action on, or in relation to, 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_69ab4c41e8c08190a9e8f5249cc12610 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf62308081908a65decdd5d6f918 completed March 7, 2026, 8:18 a.m.
PD Predicate disambiguation batch_69abdd10aef88190b750aae07e7df4dc completed March 7, 2026, 8:08 a.m.
Created at: March 6, 2026, 10:02 p.m.