Triple

T36280848
Position Surface form Disambiguated ID Type / Status
Subject Lester B. Pearson Middle School E892935 entity
Predicate hasFictionalStudentActivity P107617 FINISHED
Object math class 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: math class | Statement: [Lester B. Pearson Middle School, hasFictionalStudentActivity, math class]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasFictionalStudentActivity
Context triple: [Lester B. Pearson Middle School, hasFictionalStudentActivity, math class]
  • A. hasStudentFictional
    Indicates that an entity has, is associated with, or is characterized by a student who is fictional rather than real.
  • B. hasFictionalSchool
    Indicates that an entity is associated with or contains a school that exists only within a fictional or imaginary context.
  • C. hasStudentCharacter
    Indicates that an entity possesses or is associated with a character or role in the capacity of a student.
  • D. hasFictionalStudentBodyType
    Indicates that an entity is characterized by a type or category of student body that exists in a fictional or imaginary context.
  • E. hasFictionalPractice chosen
    Indicates that an entity engages in, is associated with, or features a practice, activity, or procedure that exists only within a fictional or imagined 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_69f76e4955c08190b8cfddca34fc0242 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_6a000a1d8fa88190a1d82ac746565c48 completed May 10, 2026, 4:31 a.m.
PD Predicate disambiguation batch_6a0008b26eb88190ae03b2309a614774 completed May 10, 2026, 4:25 a.m.
Created at: May 3, 2026, 4:09 p.m.