Triple

T2504500
Position Surface form Disambiguated ID Type / Status
Subject Munich massacre E52545 entity
Predicate survivingPerpetrators P40209 FINISHED
Object 3 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: 3 | Statement: [Munich massacre, survivingPerpetrators, 3]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: survivingPerpetrators
Context triple: [Munich massacre, survivingPerpetrators, 3]
  • A. notableVictims
    Indicates that the object is a person or group who is especially well-known or significant as a victim of the subject.
  • B. survivingFrom
    Indicates that one entity continues to live, exist, or remain after another related entity has ended, disappeared, or ceased to exist.
  • C. persecutedIn
    Indicates that an entity is subjected to oppression, harassment, or unfair treatment within a particular place, context, or time period.
  • D. notableVictim
    Indicates that the subject is a person or entity who is notably recognized as a victim of the object (such as an event, crime, or harmful action).
  • E. commanderOfPerpetrators
    Indicates that one entity holds command authority over the individuals who carried out a particular act or offense.
  • F. None of above. chosen

Provenance (4 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_69ab4957b3a88190adf968ae0c1b931c completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd1cd2db0819087d21ec49ffd9585 completed March 7, 2026, 7:20 a.m.
PD Predicate disambiguation batch_69abd0bba5348190bb4637d3165cb339 completed March 7, 2026, 7:16 a.m.
PDg Predicate description generation batch_69abd1aa13a08190a8757c017d8a2478 completed March 7, 2026, 7:20 a.m.
Created at: March 6, 2026, 9:46 p.m.