Triple

T5385702
Position Surface form Disambiguated ID Type / Status
Subject motaqareb metre E120196 entity
Predicate hasSyllablePattern P18519 FINISHED
Object long short short long / long short short long / long short short long / long short short long 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: long short short long / long short short long / long short short long / long short short long | Statement: [motaqareb metre, hasSyllablePattern, long short short long / long short short long / long short short long / long short short long]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSyllablePattern
Context triple: [motaqareb metre, hasSyllablePattern, long short short long / long short short long / long short short long / long short short long]
  • A. hasSyllableStructure
    Indicates that an entity (typically a word or morpheme) possesses a particular arrangement or pattern of syllables.
  • B. hasSyllabicStructure chosen
    Indicates that an entity possesses a specific arrangement or pattern of syllables, such as their number, order, or type.
  • C. hasSyllableCount
    Indicates that one entity (typically a word or phrase) possesses a specific number of syllables given by the other entity.
  • D. hasStressPattern
    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.
  • E. hasSyllabary
    Indicates that one entity possesses or is associated with a specific syllabary writing system used to represent its language or notation.
  • 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_69bd46354c648190a38b26f107010a96 completed March 20, 2026, 1:05 p.m.
NER Named-entity recognition batch_69bd86f5a7388190aa4ba2052afca74e completed March 20, 2026, 5:42 p.m.
PD Predicate disambiguation batch_69bd8463a9c88190bd760378f3026180 completed March 20, 2026, 5:31 p.m.
Created at: March 20, 2026, 2:03 p.m.