Triple

T15602141
Position Surface form Disambiguated ID Type / Status
Subject Pythagorean tuning E375058 entity
Predicate emphasizesConsonanceOf P119406 FINISHED
Object perfect fifth 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: perfect fifth | Statement: [Pythagorean tuning, emphasizesConsonanceOf, perfect fifth]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: emphasizesConsonanceOf
Context triple: [Pythagorean tuning, emphasizesConsonanceOf, perfect fifth]
  • A. hasConsonantHarmony
    Indicates that the entities are related by a pattern where consonants within a linguistic unit adjust to share similar features, creating consonant harmony.
  • B. usesConsonantInitials
    Indicates that an entity’s initials or abbreviated form begin with consonant letters rather than vowels.
  • C. hasEmphasis
    Indicates that one element is given special stress, importance, or prominence relative to others.
  • D. supportsConjunctConsonants
    Indicates that a writing system or orthographic convention allows the formation and use of conjunct consonant clusters (combined consonant characters).
  • E. usesFinalConsonants
    Indicates that an entity employs or contains consonant sounds in final position, such as at the end of a word, syllable, or phonological unit.
  • F. None of above. chosen

Provenance (4 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_69d85cce25008190b13b52745fbd719b completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e6399d88190b2c3e781667666d4 completed April 16, 2026, 2:50 a.m.
PD Predicate disambiguation batch_69deda844af081909e658ebc9d9b403d completed April 15, 2026, 12:23 a.m.
PDg Predicate description generation batch_69dff7f05f708190850f1d8782e132b0 completed April 15, 2026, 8:41 p.m.
Created at: April 10, 2026, 4:12 a.m.