Triple

T661212
Position Surface form Disambiguated ID Type / Status
Subject Conservative Friends E11758 entity
Predicate originContext P18207 FINISHED
Object Quaker separations of the 19th century 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: Quaker separations of the 19th century | Statement: [Conservative Friends, originContext, Quaker separations of the 19th century]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: originContext
Context triple: [Conservative Friends, originContext, Quaker separations of the 19th century]
  • A. contextOf
    Indicates that one entity provides the situational, informational, or environmental background within which another entity exists, occurs, or is interpreted.
  • B. canonicalContext
    Indicates the standard or primary contextual framework within which an entity, statement, or resource is to be interpreted.
  • C. context
    Indicates that one entity provides the surrounding circumstances, setting, or background within which another entity, event, or statement occurs or is interpreted.
  • D. proposedInContextOf
    Indicates that something (such as an idea, action, or change) was proposed specifically within, and in relation to, a particular situation, setting, or surrounding circumstances.
  • E. successorContext
    Indicates that one context directly follows and continues from another in a sequence or process.
  • 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_69a4932862a0819098be659c814e4981 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a0f55f7481909e052a25bd12d455 completed March 1, 2026, 8:26 p.m.
PD Predicate disambiguation batch_69a49d1406ec8190abf546549264c85d completed March 1, 2026, 8:09 p.m.
PDg Predicate description generation batch_69a4a0f405748190ba72a9cfe946a8ec completed March 1, 2026, 8:26 p.m.
Created at: March 1, 2026, 7:36 p.m.