Triple

T31992021
Position Surface form Disambiguated ID Type / Status
Subject E816896 entity
Predicate traditionalVariantOf P196249 FINISHED
Object 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: 颜 | Statement: [顏, traditionalVariantOf, 颜]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: traditionalVariantOf
Context triple: [顏, traditionalVariantOf, 颜]
  • A. traditionalVariety chosen
    Indicates that one entity is a traditional or long-established variety, type, or form of another entity.
  • B. exportVariantOf
    Indicates that one entity is an exported version or externally released form derived from another, original entity.
  • C. customizedVariantOf
    Indicates that one entity is a modified or tailored version derived from another, preserving a core basis while introducing specific customizations.
  • D. denotesVariantOf
    Indicates that one entity is a variant or alternative form of another, typically sharing core identity or function with some differences.
  • E. likelyVariantOf
    Indicates that one entity is probably a variant, version, or alternative form of another entity, based on available evidence or similarity.
  • 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_69f348f8002081909a3588758ba94afb completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69fe8ddf70e48190a917eb9e8f7b6966 completed May 9, 2026, 1:29 a.m.
PD Predicate disambiguation batch_69fe87ef94dc81909bb00ec8d6de9bcd completed May 9, 2026, 1:03 a.m.
Created at: May 1, 2026, 12:13 a.m.