Triple

T4360350
Position Surface form Disambiguated ID Type / Status
Subject Make Do and Mend campaign E98645 entity
Predicate educationalMaterial P10464 FINISHED
Object guides on darning and patching 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: guides on darning and patching | Statement: [Make Do and Mend campaign, educationalMaterial, guides on darning and patching]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: educationalMaterial
Context triple: [Make Do and Mend campaign, educationalMaterial, guides on darning and patching]
  • A. hasEducationalMaterial chosen
    Indicates that an entity provides, contains, or is associated with educational content or learning resources for another entity.
  • B. educationalActivity
    Indicates an action or relationship in which one entity engages in or provides a learning or teaching activity for another.
  • C. educationalFocus
    Indicates the primary subject area or theme that an educational activity, program, or resource is centered on.
  • D. educationalModel
    Indicates that one entity serves as an educational model, framework, or paradigm that guides or structures the teaching, learning, or training practices of another entity.
  • E. educationUse
    Indicates the use or application of something specifically for educational purposes or in an educational context.
  • 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_69b3454c772081908e20173e379e8ebe completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b351e3220881909dc9d02ab024abf5 completed March 12, 2026, 11:53 p.m.
PD Predicate disambiguation batch_69b34f53e3cc8190bf5d4dbe2413bf65 completed March 12, 2026, 11:42 p.m.
Created at: March 12, 2026, 11:16 p.m.