Triple

T3691277
Position Surface form Disambiguated ID Type / Status
Subject Turtle Blocks E78347 entity
Predicate supportsLearningApproach P10363 FINISHED
Object constructionism 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: constructionism | Statement: [Turtle Blocks, supportsLearningApproach, constructionism]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsLearningApproach
Context triple: [Turtle Blocks, supportsLearningApproach, constructionism]
  • A. educationalApproach
    Indicates the method, strategy, or philosophy used to guide teaching and learning within an educational context.
  • B. includesApproach chosen
    Indicates that one entity incorporates, utilizes, or is characterized by a particular method, strategy, or approach in relation to another entity or context.
  • C. supportsDiscipline
    Indicates that one entity provides assistance, resources, or endorsement that helps sustain or advance a particular discipline.
  • D. supportsInstrumentApproaches
    Indicates that one entity provides the capability, infrastructure, or authorization for instrument-based approach procedures to be conducted by another entity.
  • E. supportsTheory
    Indicates that one entity provides evidence, justification, or endorsement for the validity or acceptance of another entity’s theory.
  • 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_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.
Created at: March 8, 2026, 3:26 p.m.