Triple

T30691267
Position Surface form Disambiguated ID Type / Status
Subject Sonata for Trumpet and Piano E781331 entity
Predicate frequentlyStudiedAt P46827 FINISHED
Object conservatories 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: conservatories | Statement: [Sonata for Trumpet and Piano, frequentlyStudiedAt, conservatories]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: frequentlyStudiedAt
Context triple: [Sonata for Trumpet and Piano, frequentlyStudiedAt, conservatories]
  • A. oftenStudiedBetween
    Indicates that something is frequently examined, researched, or analyzed in relation to two or more entities.
  • B. widelyStudiedIn chosen
    Indicates that something has been extensively researched, analyzed, or examined within a particular field, domain, or context.
  • C. oftenStudiedWith
    Indicates that two subjects or topics are frequently studied together, typically within the same context, course, or learning activity.
  • D. alsoStudied
    Indicates that an entity pursued additional studies in another subject, field, or institution besides a primary one.
  • E. isStudiedIn
    Indicates that a subject (such as a topic, field, or phenomenon) is examined, researched, or learned about within a particular context, environment, or discipline.
  • 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_69f224ab24e08190991d6edb6df58e8b completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f69dfdda708190be290c7bec205445 completed May 3, 2026, 12:59 a.m.
PD Predicate disambiguation batch_69f69d1a37e081908d1d86b90ff502bd completed May 3, 2026, 12:55 a.m.
Created at: April 29, 2026, 8:33 p.m.