Triple

T17588072
Position Surface form Disambiguated ID Type / Status
Subject Inner London Education Authority E428375 entity
Predicate hasPolicyOn P126667 FINISHED
Object school admissions in Inner London 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: school admissions in Inner London | Statement: [Inner London Education Authority, hasPolicyOn, school admissions in Inner London]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPolicyOn
Context triple: [Inner London Education Authority, hasPolicyOn, school admissions in Inner London]
  • A. containsPolicyOn
    Indicates that one entity includes, references, or incorporates a specific policy within it.
  • B. hasPolicyStatus
    Indicates that an entity is associated with a policy and specifies the current status or state of that policy.
  • C. appliesPolicyOn chosen
    Indicates that one entity enforces, executes, or brings into effect a specific policy on another entity or context.
  • D. hasPolicySupport
    Indicates that one entity provides endorsement, backing, or approval for a specific policy associated with another entity.
  • E. isOnPolicy
    Indicates that an action, configuration, or behavior complies with and adheres to a specified policy or set of rules.
  • 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e469e50a80819098920d9190c30225 completed April 19, 2026, 5:36 a.m.
PD Predicate disambiguation batch_69e3b4fff0348190b899a32da537eaca completed April 18, 2026, 4:44 p.m.
Created at: April 10, 2026, 5:51 a.m.