Triple

T31435495
Position Surface form Disambiguated ID Type / Status
Subject Sir Christopher Hatton Academy E801913 entity
Predicate hasEducationalPhase P73150 FINISHED
Object 11–18 school 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: 11–18 school | Statement: [Sir Christopher Hatton Academy, hasEducationalPhase, 11–18 school]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasEducationalPhase
Context triple: [Sir Christopher Hatton Academy, hasEducationalPhase, 11–18 school]
  • A. schoolPhase chosen
    Indicates the specific stage or level within an educational system at which the related entity operates or applies.
  • B. hasEducationalStatus
    Indicates that an entity possesses a particular level, state, or condition of formal education or academic attainment.
  • C. educationalStages
    Indicates the ordered levels or phases within an education system that a learner progresses through.
  • D. isInEducationalSystemOf
    Indicates that one entity belongs to, is administered by, or operates within the educational system governed by another entity.
  • E. hasStatusInEducation
    Indicates that an entity holds a particular educational status or standing within an educational system, program, or institution.
  • 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_69f348c475348190bf579ca858eec77c completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6db1f3ec48190a82e7d893d3c76ba completed May 3, 2026, 5:20 a.m.
PD Predicate disambiguation batch_69f6d82adfa481908a5e196d2e18c73f completed May 3, 2026, 5:07 a.m.
Created at: April 30, 2026, 9:01 p.m.