Triple

T7264690
Position Surface form Disambiguated ID Type / Status
Subject Middle school E159741 entity
Predicate hasCurriculumArea P76018 FINISHED
Object mathematics 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: mathematics | Statement: [Middle school, hasCurriculumArea, mathematics]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCurriculumArea
Context triple: [Middle school, hasCurriculumArea, mathematics]
  • A. hasCurriculumComponent
    Indicates that one curriculum or educational program includes or is composed of a particular component, module, or element.
  • B. usesCurriculum
    Indicates that one entity adopts or applies a particular curriculum as the basis for its instruction, training, or educational activities.
  • C. attainmentAreaDefinedBy
    Indicates that the scope or domain in which an attainment applies is specified or delimited by a particular area or context.
  • D. curriculumType
    Indicates the classification or category of curriculum associated with an educational program or course.
  • E. hasOpenCurriculum
    Indicates that an educational program or institution allows students significant flexibility to choose courses and design their own course of study rather than following a fixed, prescribed curriculum.
  • 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_69c68838f9948190875fd60b2351230c completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eb088dac8190b353f6ea3d686025 completed March 27, 2026, 8:39 p.m.
PD Predicate disambiguation batch_69c6e76876608190ac4652bc7153302e completed March 27, 2026, 8:24 p.m.
PDg Predicate description generation batch_69c6eb06acd881908a1735fbbbd5756f completed March 27, 2026, 8:39 p.m.
Created at: March 27, 2026, 2:57 p.m.