Triple

T2714909
Position Surface form Disambiguated ID Type / Status
Subject Turandot E59944 entity
Predicate hasBalletMusic P32701 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: [Turandot, hasBalletMusic, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasBalletMusic
Context triple: [Turandot, hasBalletMusic, yes]
  • A. balletType
    Indicates that one entity is classified as a specific type or category of ballet in relation to another entity.
  • B. balletInclusion chosen
    Indicates that ballet is included, featured, or incorporated as a component within something, such as a program, event, or curriculum.
  • C. hasMusicalForm
    Indicates that one entity (typically a musical work or piece) is characterized by or structured according to a particular musical form.
  • D. hasSymphonyOrchestra
    Indicates that an entity possesses, hosts, or is associated with a symphony orchestra.
  • E. hasOrchestralFeature
    Indicates that something includes, exhibits, or is characterized by a notable orchestral element or component.
  • 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_69ab4ac92a088190bc74bca14038e3de completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda93a2388190b55a1c821ef6bc64 completed March 7, 2026, 7:58 a.m.
PD Predicate disambiguation batch_69abd8240920819087a812d816a55edb completed March 7, 2026, 7:47 a.m.
Created at: March 6, 2026, 9:55 p.m.