Triple

T2671495
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Engineering, Hokkaido University E55755 entity
Predicate educationActivity P12759 FINISHED
Object engineering education 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: engineering education | Statement: [Faculty of Engineering, Hokkaido University, educationActivity, engineering education]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: educationActivity
Context triple: [Faculty of Engineering, Hokkaido University, educationActivity, engineering education]
  • A. educationalActivity chosen
    Indicates an action or relationship in which one entity engages in or provides a learning or teaching activity for another.
  • B. educationSystem
    Indicates the relationship in which an entity is part of, governed by, or operates within a particular system or structure of education.
  • C. educationSetting
    Indicates the type or context of the educational environment in which the related entity participates or operates.
  • D. educationPractice
    Indicates that an entity engages in, applies, or embodies a particular educational method, strategy, or instructional approach.
  • E. educationalFocus
    Indicates the primary subject area or theme that an educational activity, program, or resource is centered on.
  • 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_69ab49e54de48190be708cd1cf8be073 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd98e7d00819088398206fc7db477 completed March 7, 2026, 7:53 a.m.
PD Predicate disambiguation batch_69abd8190ad481908f3e14ac84d0940a completed March 7, 2026, 7:47 a.m.
Created at: March 6, 2026, 9:54 p.m.