Triple

T29721248
Position Surface form Disambiguated ID Type / Status
Subject The Adoration of the Earth E752058 entity
Predicate inScore P115343 FINISHED
Object Russian and French tempo and character markings 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: Russian and French tempo and character markings | Statement: [The Adoration of the Earth, inScore, Russian and French tempo and character markings]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: inScore
Context triple: [The Adoration of the Earth, inScore, Russian and French tempo and character markings]
  • A. scores
    Indicates that one entity achieves or is assigned a numerical result, rating, or points in relation to another entity, such as a test, game, or evaluation.
  • B. isScoreFor
    Indicates that one value represents the score or result associated with a particular entity, event, or performance.
  • C. isPartOfScoreBy chosen
    Indicates that something constitutes a component or segment within a larger score or musical composition.
  • D. scoring
    Indicates the act of achieving points or a measurable result, typically by successfully completing an action that contributes to a score or outcome.
  • E. individualScoring
    Indicates that a specific individual receives or is assigned a particular score or evaluation in a given context.
  • 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_69f0d628c00c8190ab5ee7e423d7ec3c completed April 28, 2026, 3:45 p.m.
NER Named-entity recognition batch_69f672fbd174819094642a594a447e47 completed May 2, 2026, 9:56 p.m.
PD Predicate disambiguation batch_69f6659f246081909821c5f452d14e8f completed May 2, 2026, 8:59 p.m.
Created at: April 28, 2026, 7:36 p.m.