Triple

T35125922
Position Surface form Disambiguated ID Type / Status
Subject Camp Speicher massacre E1014301 entity
Predicate victimSelectionCriteria P699 FINISHED
Object religious affiliation 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: religious affiliation | Statement: [Camp Speicher massacre, victimSelectionCriteria, religious affiliation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: victimSelectionCriteria
Context triple: [Camp Speicher massacre, victimSelectionCriteria, religious affiliation]
  • A. victimRole
    Indicates that one entity participates in an event or situation specifically in the role of the victim or harmed party.
  • B. victimOrder
    Indicates the sequence or ranking of victims involved in an event or incident.
  • C. victimCountPolicy
    Indicates the rule or criterion used to determine how victims are counted or classified in a given context.
  • D. victimGroup chosen
    Indicates that one group or entity is the target or recipient of harm, abuse, or wrongdoing caused by another.
  • E. victimGroupContext
    Indicates the contextual circumstances or setting in which a victim group is targeted, affected, or involved in an event or action.
  • 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_69f76dd8b6948190aaa32b081816bd94 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78ce78b508190955848e133398dc8 completed May 3, 2026, 5:59 p.m.
PD Predicate disambiguation batch_69f78b8f4cc08190b49fccd798cb25d7 completed May 3, 2026, 5:53 p.m.
Created at: May 3, 2026, 4:02 p.m.