Triple

T5278729
Position Surface form Disambiguated ID Type / Status
Subject Northern School of Contemporary Dance E119436 entity
Predicate admissionFocus P24289 FINISHED
Object audition-based entry 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: audition-based entry | Statement: [Northern School of Contemporary Dance, admissionFocus, audition-based entry]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: admissionFocus
Context triple: [Northern School of Contemporary Dance, admissionFocus, audition-based entry]
  • A. admissionType chosen
    Indicates the category or manner in which an entity (such as a person or case) is formally accepted or admitted into a system, institution, or process.
  • B. admissionOrder
    Indicates the sequence or priority in which admissions occur or are processed relative to one another.
  • C. admittedTo
    Indicates that one entity has been formally accepted, enrolled, or granted entry into another entity, such as an institution, program, or facility.
  • D. hasAdmission
    Indicates that an entity possesses or is associated with a specific admission event, record, or status (such as being admitted to a place, program, or institution).
  • E. controlsAdmissionsFor
    Indicates that one entity has authority or responsibility over managing and deciding admissions for another entity.
  • 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_69bd446d05a8819092ad333a3f9c8d5c completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd8c9c72b08190947b6b955ac1bb5a completed March 20, 2026, 6:06 p.m.
PD Predicate disambiguation batch_69bd844a56b48190ad743c42246e02dd completed March 20, 2026, 5:30 p.m.
Created at: March 20, 2026, 1:51 p.m.