Triple

T1911971
Position Surface form Disambiguated ID Type / Status
Subject Becky E38129 entity
Predicate hasStressPatternInEnglish P4253 FINISHED
Object first syllable stressed 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: first syllable stressed | Statement: [Becky, hasStressPatternInEnglish, first syllable stressed]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasStressPatternInEnglish
Context triple: [Becky, hasStressPatternInEnglish, first syllable stressed]
  • A. hasStressPattern chosen
    Indicates that an entity (such as a word or phrase) follows a particular arrangement of stressed and unstressed units (e.g., syllables) in its pronunciation.
  • B. hasSyllableStructure
    Indicates that an entity (typically a word or morpheme) possesses a particular arrangement or pattern of syllables.
  • C. hasSyllabicStructure
    Indicates that an entity possesses a specific arrangement or pattern of syllables, such as their number, order, or type.
  • D. hasPhonemicTone
    Indicates that a language, word, or syllable uses pitch differences (tones) as phonemic contrasts that can change meaning.
  • E. hasIPA
    Indicates that an entity is associated with a specific International Phonetic Alphabet (IPA) transcription representing its pronunciation.
  • 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_69a8862a26088190aae5243695aeefc0 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb34d94fc8190a5bf1e582c77c725 completed March 7, 2026, 5:10 a.m.
PD Predicate disambiguation batch_69abafeba3d88190afcce67483d8625b completed March 7, 2026, 4:56 a.m.
Created at: March 4, 2026, 7:35 p.m.