Triple

T35523528
Position Surface form Disambiguated ID Type / Status
Subject Special English E1026606 entity
Predicate controlledAspect P4700 FINISHED
Object vocabulary size 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: vocabulary size | Statement: [Special English, controlledAspect, vocabulary size]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: controlledAspect
Context triple: [Special English, controlledAspect, vocabulary size]
  • A. controlledIn
    Indicates that one entity exercised control, authority, or governance over another entity within a specific context or domain.
  • B. controlled chosen
    Indicates that one entity has power, authority, or influence to direct, regulate, or determine the behavior, actions, or state of another entity.
  • C. coversAspect
    Indicates that one entity addresses, includes, or deals with a particular aspect or facet of another entity or topic.
  • D. protectedAspect
    Indicates that one entity is safeguarded, preserved, or kept safe by another entity or mechanism.
  • E. validatedAspectOf
    Indicates that one entity has been checked or confirmed as a correct, acceptable, or compliant aspect or component of another 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_69f76dfe78b081908e2b14cb88dd8c00 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fedec693b08190b0f8bfdb921e0766 completed May 9, 2026, 7:14 a.m.
PD Predicate disambiguation batch_69fede16c1d48190a20d8a9c5722c307 completed May 9, 2026, 7:11 a.m.
Created at: May 3, 2026, 4:04 p.m.