Triple

T31394721
Position Surface form Disambiguated ID Type / Status
Subject Symphony No. 5 E800833 entity
Predicate hasKeyRange P139604 FINISHED
Object various keys depending on composer 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: various keys depending on composer | Statement: [Symphony No. 5, hasKeyRange, various keys depending on composer]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasKeyRange
Context triple: [Symphony No. 5, hasKeyRange, various keys depending on composer]
  • A. hasRange
    Indicates that a property or relation is constrained to take its values from a specified class, type, or value set.
  • B. hasKeyboardRange chosen
    Indicates that one entity possesses or supports a specified span of keys or notes across a keyboard-based input or instrument.
  • C. hasKeySpace
    Indicates that one entity defines, owns, or is associated with the namespace or set of valid keys used to identify or access elements in another entity.
  • D. hasBlockRangeStart
    Indicates the starting position or index of a contiguous block or range associated with an entity.
  • E. hasKeyApprox
    Indicates that one entity possesses a key that approximately matches, corresponds to, or can operate with another entity, but not necessarily with exact or perfect equivalence.
  • 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_69f224ea9998819086ae2e4f4f4091c8 completed April 29, 2026, 3:34 p.m.
NER Named-entity recognition batch_69f7688dd3d08190ad13d0e780570a1c completed May 3, 2026, 3:23 p.m.
PD Predicate disambiguation batch_69f767fcf2f881908bacc7bfc38e68a5 completed May 3, 2026, 3:21 p.m.
Created at: April 29, 2026, 9:19 p.m.