Triple

T26102652
Position Surface form Disambiguated ID Type / Status
Subject Silvi E658453 entity
Predicate hasSyllable P118081 FINISHED
Object Sil 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: Sil | Statement: [Silvi, hasSyllable, Sil]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSyllable
Context triple: [Silvi, hasSyllable, Sil]
  • A. containsSyllable chosen
    Indicates that one linguistic unit, such as a word or morpheme, includes a particular syllable as part of its phonological structure.
  • B. hasSyllableCount
    Indicates that one entity (typically a word or phrase) possesses a specific number of syllables given by the other entity.
  • C. hasSyllabicStructure
    Indicates that an entity possesses a specific arrangement or pattern of syllables, such as their number, order, or type.
  • D. hasSyllabary
    Indicates that one entity possesses or is associated with a specific syllabary writing system used to represent its language or notation.
  • E. hasSyllableStructure
    Indicates that an entity (typically a word or morpheme) possesses a particular arrangement or pattern of syllables.
  • 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_69ee5bc09c288190bc42a11972841383 completed April 26, 2026, 6:38 p.m.
NER Named-entity recognition batch_69f6352fdb788190b9bad30243690743 completed May 2, 2026, 5:32 p.m.
PD Predicate disambiguation batch_69f63182f1408190bddc1214fcbd6145 completed May 2, 2026, 5:16 p.m.
Created at: April 26, 2026, 7:55 p.m.