Triple

T21907970
Position Surface form Disambiguated ID Type / Status
Subject Śiva-sūtras (phonological inventory) E540987 entity
Predicate hasCanonicalCountOfPhonemes P65631 FINISHED
Object approximately 43–44 phonological units (depending on analysis) 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: approximately 43–44 phonological units (depending on analysis) | Statement: [Śiva-sūtras (phonological inventory), hasCanonicalCountOfPhonemes, approximately 43–44 phonological units (depending on analysis)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCanonicalCountOfPhonemes
Context triple: [Śiva-sūtras (phonological inventory), hasCanonicalCountOfPhonemes, approximately 43–44 phonological units (depending on analysis)]
  • A. hasPhonemeInventory
    Indicates that an entity possesses a specific set or system of distinct speech sounds (phonemes) used in its language.
  • B. hasPhoneme
    Indicates that a linguistic unit (such as a word or morpheme) contains or includes a particular phoneme as part of its sound structure.
  • C. hasPhonemicVowels
    Indicates that a language or linguistic system distinguishes vowel sounds as separate phonemes that can change word meaning.
  • D. phonemeInventorySize chosen
    Indicates the number of distinct phonemes present in a language’s sound system.
  • E. hasSyllableCount
    Indicates that one entity (typically a word or phrase) possesses a specific number of syllables given by the other entity.
  • 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_69e0c47b4e8c81908c8076eaa4c8e4f2 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f121d806688190b23502aacbfde4bd completed April 28, 2026, 9:08 p.m.
PD Predicate disambiguation batch_69e6be9ebf4c8190892df1a8e1313f88 completed April 21, 2026, 12:02 a.m.
Created at: April 16, 2026, 7:39 p.m.