Triple

T10494720
Position Surface form Disambiguated ID Type / Status
Subject Glenalmond College E247504 entity
Predicate hasDramaProgram P6928 FINISHED
Object yes 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: yes | Statement: [Glenalmond College, hasDramaProgram, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasDramaProgram
Context triple: [Glenalmond College, hasDramaProgram, yes]
  • A. hasDramaticProduction
    Indicates that an entity is associated with or features a specific dramatic production (such as a play, performance, or staged work).
  • B. hasProgramme chosen
    Indicates that an entity is associated with or offers a particular programme (such as a course of study, plan, or structured set of activities).
  • C. hasPublicProgram
    Indicates that an entity offers or participates in a program or initiative that is accessible to the general public.
  • D. hasComedyShows
    Indicates that one entity offers, features, or includes comedy shows associated with another entity.
  • E. hasMusicProgram
    Indicates that an entity offers or is associated with an organized music-related program or curriculum.
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5098be488819083d614f528cd82fb completed April 7, 2026, 1:41 p.m.
PD Predicate disambiguation batch_69d4fb8e24ac8190912c9f11b8bd3084 completed April 7, 2026, 12:41 p.m.
Created at: April 6, 2026, 12:24 p.m.