Triple

T38174726
Position Surface form Disambiguated ID Type / Status
Subject Canon a 2 violini in unisono E1000173 entity
Predicate puzzleNotation P168839 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: [Canon a 2 violini in unisono, puzzleNotation, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: puzzleNotation
Context triple: [Canon a 2 violini in unisono, puzzleNotation, yes]
  • A. WhyteNotation
    Indicates a classification relationship where a steam locomotive is described by its wheel arrangement using the Whyte notation system.
  • B. gameNotation chosen
    Indicates a standardized symbolic representation of moves or states within a game.
  • C. positionInNotation
    Indicates the specific place or index that an element occupies within a given ordered notation or representation.
  • D. typicalNotation
    Indicates that one entity is the standard or commonly used symbolic representation (notation) for another entity.
  • E. puzzleType
    Indicates the specific category or kind of puzzle that an item, activity, or problem belongs to.
  • 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_69f76daaace48190a38cee37f8ce343f completed May 3, 2026, 3:45 p.m.
NER Named-entity recognition batch_69fcc42cbac48190b8d3e4c9ce140838 completed May 7, 2026, 4:56 p.m.
PD Predicate disambiguation batch_69fcb0fc69c88190800453eb57a7e62c completed May 7, 2026, 3:34 p.m.
Created at: May 3, 2026, 4:29 p.m.