Triple

T2196618
Position Surface form Disambiguated ID Type / Status
Subject Government Seal of Japan E49988 entity
Predicate hasColorVariant P19736 FINISHED
Object gold on red background 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: gold on red background | Statement: [Government Seal of Japan, hasColorVariant, gold on red background]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasColorVariant
Context triple: [Government Seal of Japan, hasColorVariant, gold on red background]
  • A. hasColorOption
    Indicates that an entity offers or supports a particular color as one of its selectable options.
  • B. hasVariant
    Indicates that one entity exists as an alternative form, version, or variation of another entity.
  • C. colorVarietyOf chosen
    Indicates that one entity represents a specific color variant or color option of another entity.
  • D. hasVariantSeries
    Indicates a relationship where one entity is a variant or alternative series derived from or associated with another series.
  • E. hasVariantSystem
    Indicates that one system is an alternative or variant form of another system within the same general framework or category.
  • 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_69a88aaba3c48190b351cab9b26989ff completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbf77e4f08190a1f5ea601d306596 completed March 7, 2026, 6:02 a.m.
PD Predicate disambiguation batch_69abbda52328819089c7ab111bebb0ca completed March 7, 2026, 5:54 a.m.
Created at: March 4, 2026, 7:46 p.m.