Triple

T14016393
Position Surface form Disambiguated ID Type / Status
Subject Nature Cat E337213 entity
Predicate hasEducationalMethod P779 FINISHED
Object inquiry-based learning 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: inquiry-based learning | Statement: [Nature Cat, hasEducationalMethod, inquiry-based learning]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasEducationalMethod
Context triple: [Nature Cat, hasEducationalMethod, inquiry-based learning]
  • A. hasEducationalFeature
    Indicates that something includes or is associated with a component, characteristic, or functionality intended for educational purposes.
  • B. educationalApproach chosen
    Indicates the method, strategy, or philosophy used to guide teaching and learning within an educational context.
  • C. hasEducationalProgram
    Indicates that an entity offers, runs, or is associated with a specific educational program.
  • D. hasEducationalDimension
    Indicates that something includes, involves, or contributes to an educational aspect, purpose, or impact within the relationship or context described.
  • E. hasEducationalOrientation
    Indicates that one entity is oriented toward, focused on, or characterized by a particular educational approach, philosophy, or direction in relation to another entity.
  • 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_69d81c6543a48190bd5ba93d7419e797 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2f396b648190927e5718c3bb6511 completed April 14, 2026, 12:12 p.m.
PD Predicate disambiguation batch_69de05a802ac819090604025aae6a4d5 completed April 14, 2026, 9:15 a.m.
Created at: April 9, 2026, 10:19 p.m.