Triple

T12198932
Position Surface form Disambiguated ID Type / Status
Subject Coup of 1772 in Sweden E290661 entity
Predicate violence P80416 FINISHED
Object minimal bloodshed 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: minimal bloodshed | Statement: [Coup of 1772 in Sweden, violence, minimal bloodshed]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: violence
Context triple: [Coup of 1772 in Sweden, violence, minimal bloodshed]
  • A. violenceLevel chosen
    Indicates the degree or intensity of violent behavior, actions, or content present in or associated with an entity.
  • B. justifiesViolenceThrough
    Indicates that one party legitimizes or defends the use of violence by appealing to, or reasoning through, another factor, belief, or circumstance.
  • C. viewOnViolence
    Indicates an entity’s stance, opinion, or attitude toward the use of violence.
  • D. usedViolenceAgainst
    Indicates that one entity intentionally inflicted physical force or harm upon another entity.
  • E. timeOfMassViolence
    Indicates the specific time at which an act or event of mass violence occurred.
  • 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_69d6ab64de5881908d56eb7a75c6cc69 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d938cd2edc8190b1971349dbc0dee0 completed April 10, 2026, 5:52 p.m.
PD Predicate disambiguation batch_69d91c38321c819080d500d0d64a04f6 completed April 10, 2026, 3:50 p.m.
Created at: April 8, 2026, 9:50 p.m.