Triple

T3691368
Position Surface form Disambiguated ID Type / Status
Subject constructionism (learning theory) E78349 entity
Predicate viewsLearnerAs P49769 FINISHED
Object active constructor of knowledge 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: active constructor of knowledge | Statement: [constructionism (learning theory), viewsLearnerAs, active constructor of knowledge]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: viewsLearnerAs
Context triple: [constructionism (learning theory), viewsLearnerAs, active constructor of knowledge]
  • A. viewsClientAs
    Indicates that one entity regards or treats another entity as a client within a service, business, or professional relationship.
  • B. viewsCommunityLeaderAs
    Indicates that one entity regards or perceives another entity as a leader within a particular community.
  • C. viewOnEducation
    Indicates a stance, opinion, or perspective that an entity holds regarding education or educational matters.
  • D. viewedBy
    Indicates that something has been seen, observed, or watched by a particular entity.
  • E. viewedHistoryAs
    Indicates that one entity has examined or interpreted another entity as a historical record or in the context of its past events.
  • 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_69ad85e285a081908f8cbfa9e2ed9b75 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc4e783a88190b2837a68b8723a25 completed March 8, 2026, 6:50 p.m.
PD Predicate disambiguation batch_69adb84dc5808190850aa6975cb09e27 completed March 8, 2026, 5:56 p.m.
PDg Predicate description generation batch_69adb902e61c81908f10494f828e260f completed March 8, 2026, 5:59 p.m.
Created at: March 8, 2026, 3:26 p.m.