Triple

T6965599
Position Surface form Disambiguated ID Type / Status
Subject Paris Fashion Week E161478 entity
Predicate majorParticipant P6467 FINISHED
Object Balenciaga E58295 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: Balenciaga | Statement: [Paris Fashion Week, majorParticipant, Balenciaga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Balenciaga
Context triple: [Paris Fashion Week, majorParticipant, Balenciaga]
  • A. Balenciaga chosen
    Balenciaga is a luxury French fashion house renowned for its avant-garde, architectural designs and influential role in high fashion.
  • B. Balmain
    Balmain is a French luxury fashion house renowned for its opulent, sharply tailored designs and influential presence on international runways.
  • C. Balmain
    Balmain is a historic inner-west suburb of Sydney, Australia, known for its waterfront location on Sydney Harbour, preserved Victorian architecture, and vibrant pub and café culture.
  • D. Prada
    Prada is a renowned Italian luxury fashion house known for its high-end clothing, leather goods, and accessories.
  • E. Gucci
    Gucci is a renowned Italian luxury fashion house known for its high-end clothing, accessories, and iconic branding.
  • 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_69c68853cff881908439d488924a8283 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db1049e0819097099a0e9d15f787 completed March 27, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c761908564819084505f0ab1122a9c completed March 28, 2026, 5:05 a.m.
Created at: March 27, 2026, 2:30 p.m.