Triple

T15602143
Position Surface form Disambiguated ID Type / Status
Subject Pythagorean tuning E375058 entity
Predicate deemphasizesConsonanceOf P119407 FINISHED
Object major third 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: major third | Statement: [Pythagorean tuning, deemphasizesConsonanceOf, major third]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: deemphasizesConsonanceOf
Context triple: [Pythagorean tuning, deemphasizesConsonanceOf, major third]
  • A. usesConsonantInitials
    Indicates that an entity’s initials or abbreviated form begin with consonant letters rather than vowels.
  • B. hasConsonantHarmony
    Indicates that the entities are related by a pattern where consonants within a linguistic unit adjust to share similar features, creating consonant harmony.
  • C. 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.
  • D. notFullyPhonetic
    Indicates that the representation of a word or utterance does not capture all of its sounds in a strictly phonetic manner.
  • E. unstressedSyllable
    Indicates that a given syllable in a word or utterance is not emphasized or accented in pronunciation relative to other syllables.
  • 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.