Triple

T10101502
Position Surface form Disambiguated ID Type / Status
Subject Downe House School E216211 entity
Predicate targetPupilProfile P11007 FINISHED
Object preparatory for university 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: preparatory for university | Statement: [Downe House School, targetPupilProfile, preparatory for university]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: targetPupilProfile
Context triple: [Downe House School, targetPupilProfile, preparatory for university]
  • A. targetStudentGroup chosen
    Indicates a relationship where something is directed, tailored, or intended specifically for a particular group of students.
  • B. targetStudentAbility
    Indicates a relationship where a target student possesses, demonstrates, or is characterized by a particular ability or skill.
  • C. notablePupil
    Indicates that one person is a distinguished or noteworthy student or protégé of another person.
  • D. hasEducationalProfile
    Indicates that an entity is associated with a specific educational profile, detailing its education-related characteristics, qualifications, or academic background.
  • E. targetCurriculumLevel
    Indicates the curriculum level or educational stage that an activity, resource, or objective is intended to address.
  • 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_69ca83d039f08190b9d10363221c69fb completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cdd099c21c819097aac4f0f168a2da completed April 2, 2026, 2:12 a.m.
PD Predicate disambiguation batch_69cd4b9b853c8190a2af993ce9b21309 completed April 1, 2026, 4:45 p.m.
Created at: March 30, 2026, 9:02 p.m.