Triple

T2808326
Position Surface form Disambiguated ID Type / Status
Subject Hutterites E54105 entity
Predicate viewOnTechnology P43342 FINISHED
Object selective adoption of modern technology 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: selective adoption of modern technology | Statement: [Hutterites, viewOnTechnology, selective adoption of modern technology]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: viewOnTechnology
Context triple: [Hutterites, viewOnTechnology, selective adoption of modern technology]
  • A. viewOnReality
    Indicates a subject’s overarching perspective, interpretation, or conceptual stance regarding the nature of reality.
  • B. technologyBasis
    Indicates that one entity is founded on, enabled by, or fundamentally relies upon the technology provided or represented by another entity.
  • C. technologyType
    Indicates the specific kind or category of technology associated with an entity or relationship.
  • D. mirrorTechnology
    Indicates a relationship where one technology closely reflects, imitates, or duplicates the functionality or design of another.
  • E. viewOnSin
    Indicates a person's stance, opinion, or doctrinal position regarding what constitutes sin or sinful behavior.
  • 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_69ab49dcee188190b5c6eca9ae9e3469 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde2fdcf88190a52e515c166ea8f7 completed March 7, 2026, 8:13 a.m.
PD Predicate disambiguation batch_69abdd059f308190853191f6ffe2bc6f completed March 7, 2026, 8:08 a.m.
PDg Predicate description generation batch_69abde2cdcc48190827195d3ae70aa19 completed March 7, 2026, 8:13 a.m.
Created at: March 6, 2026, 9:59 p.m.