Triple

T11415813
Position Surface form Disambiguated ID Type / Status
Subject Mirfield Free Grammar E270488 entity
Predicate maximumStudentAge P26463 FINISHED
Object 18 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: 18 | Statement: [Mirfield Free Grammar, maximumStudentAge, 18]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: maximumStudentAge
Context triple: [Mirfield Free Grammar, maximumStudentAge, 18]
  • A. maximumRegistrationAge
    Indicates the highest age at which an entity is allowed or eligible to register.
  • B. maximumAgeMa
    Indicates that there is a specified maximum age limit applicable to an entity or relationship.
  • C. maximumAgeRequirement
    Indicates that there is an upper age limit that an entity must not exceed in order for a condition, participation, or eligibility to apply.
  • D. maximumPupilAge chosen
    Indicates the highest age allowed or observed for individuals in the role of pupils within a given context or system.
  • E. typicalLeavingAge
    Indicates the age at which entities (such as people or groups) usually or most commonly leave a given context, place, or situation.
  • 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_69d6aaddeaa8819088b30ef7b50598c9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d801ae47d0819098123505309c4a68 completed April 9, 2026, 7:44 p.m.
PD Predicate disambiguation batch_69d7e70ffd708190b62a78ebcbce9f78 completed April 9, 2026, 5:51 p.m.
Created at: April 8, 2026, 9:34 p.m.