Triple

T22835260
Position Surface form Disambiguated ID Type / Status
Subject Edict of Amboise E565926 entity
Predicate contextOfSignature P149906 FINISHED
Object end of the first French War of Religion 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: end of the first French War of Religion | Statement: [Edict of Amboise, contextOfSignature, end of the first French War of Religion]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: contextOfSignature
Context triple: [Edict of Amboise, contextOfSignature, end of the first French War of Religion]
  • A. contextOf
    Indicates that one entity provides the situational, informational, or environmental background within which another entity exists, occurs, or is interpreted.
  • B. contextSensitive
    Indicates that the relationship or behavior depends on the surrounding context or situation rather than being fixed or absolute.
  • C. contextOfComposition
    Indicates the situational, cultural, or environmental circumstances in which a composition or work was created.
  • D. contextType
    Indicates the type or category of contextual information associated with an entity or event.
  • E. contextName
    Indicates the specific contextual label or identifier under which an entity, event, or relation is defined or interpreted.
  • 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_69e245869e188190a196584f36e682da completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e2e3e7481909d12dc5008136880 completed April 29, 2026, 3:42 a.m.
PD Predicate disambiguation batch_69eed2d117088190acbfe130d84f8627 completed April 27, 2026, 3:06 a.m.
PDg Predicate description generation batch_69eeeb577e2081909f4a4e9c296535c0 completed April 27, 2026, 4:51 a.m.
Created at: April 17, 2026, 3:35 p.m.