Triple

T29528385
Position Surface form Disambiguated ID Type / Status
Subject Sonatina in C major, Op. 36 No. 1 E749128 entity
Predicate educationalReputation P112533 FINISHED
Object one of the most frequently taught sonatinas 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: one of the most frequently taught sonatinas | Statement: [Sonatina in C major, Op. 36 No. 1, educationalReputation, one of the most frequently taught sonatinas]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: educationalReputation
Context triple: [Sonatina in C major, Op. 36 No. 1, educationalReputation, one of the most frequently taught sonatinas]
  • A. courseReputation
    Indicates the perceived quality or standing of a course based on opinions, reviews, or past experiences.
  • B. hasEducationReputation chosen
    Indicates that an entity is recognized for a particular level or quality of reputation in the field of education.
  • C. pedagogicalReputation
    Indicates the perceived quality or standing of an entity’s teaching or instructional effectiveness as judged by others.
  • D. schoolDistrictReputation
    Indicates the perceived quality and standing of a school district based on factors like academics, safety, resources, and community opinion.
  • E. scoringReputation
    Indicates that one entity evaluates and assigns a reputation-related score to another entity based on its behavior or performance.
  • 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_69f0bd46d99c81908ba9d01cc1dbef7d completed April 28, 2026, 1:59 p.m.
NER Named-entity recognition batch_69f6b2a65c7c8190ac40f1466ceadefc completed May 3, 2026, 2:27 a.m.
PD Predicate disambiguation batch_69f6b14d7d508190bc7d4c89dfba4a32 completed May 3, 2026, 2:22 a.m.
Created at: April 28, 2026, 4:49 p.m.