Triple

T36878465
Position Surface form Disambiguated ID Type / Status
Subject Nikiya E911406 entity
Predicate requiresQualities P47667 FINISHED
Object strong classical technique 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: strong classical technique | Statement: [Nikiya, requiresQualities, strong classical technique]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: requiresQualities
Context triple: [Nikiya, requiresQualities, strong classical technique]
  • A. requiresQuality chosen
    Indicates that one entity depends on or needs another entity to possess a specific quality or attribute in order for a condition, action, or relationship to hold.
  • B. qualifyingFeaturesInclude
    Indicates that certain qualifying features are part of, or included within, a specified set of features associated with an entity or condition.
  • C. evaluationRequirement
    Indicates that one entity imposes or specifies conditions under which another entity must be assessed, tested, or evaluated.
  • D. hasQualityCriterion
    Indicates that something is associated with a specific standard or criterion used to judge its quality.
  • E. hasSpecialRequirement
    Indicates that an entity is subject to a specific, non-standard condition or prerequisite that must be met.
  • 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_69f76e82339881909607a65c0503d941 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_6a0010e46d948190a51111b5270fade7 completed May 10, 2026, 5 a.m.
PD Predicate disambiguation batch_6a001061d34c8190bfe73f3d7c061eb7 completed May 10, 2026, 4:58 a.m.
Created at: May 3, 2026, 4:13 p.m.