Triple

T11282255
Position Surface form Disambiguated ID Type / Status
Subject Lolita fashion E267091 entity
Predicate relatedTo P37 FINISHED
Object Visual kei E267093 NE 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: Visual kei | Statement: [Lolita fashion, relatedTo, Visual kei]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Visual kei
Context triple: [Lolita fashion, relatedTo, Visual kei]
  • A. Visual kei chosen
    Visual kei is a Japanese music and fashion movement characterized by flamboyant, androgynous looks, elaborate hairstyles, and theatrical rock performances.
  • B. VIS
    VIS is a large-scale European Union database system used to store and exchange visa application and related biometric data among member states’ authorities.
  • C. VIS
    VIS is the IATA airport code for Visalia Municipal Airport in Visalia, California, United States.
  • D. MV
    MV is the vehicle registration code for the German federal state of Mecklenburg-Vorpommern.
  • E. EGKA
    EGKA is the ICAO airport code for Shoreham Airport, a general aviation airfield on the south coast of England.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d6aac8c2f48190ad0596f1f89f0470 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e96e15708190b3a1cccfbbe65882 completed April 9, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4f471490081909036362c58e1e727 completed April 19, 2026, 3:27 p.m.
Created at: April 8, 2026, 9:31 p.m.