Triple

T13823715
Position Surface form Disambiguated ID Type / Status
Subject Prada Aoyama Tokyo E332196 entity
Predicate owner P347 FINISHED
Object Prada Group E31748 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: Prada Group | Statement: [Prada Aoyama Tokyo, owner, Prada Group]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prada Group
Context triple: [Prada Aoyama Tokyo, owner, Prada Group]
  • A. Kering
    Kering is a French multinational luxury group that owns and manages high-end fashion and leather goods brands such as Gucci, Saint Laurent, and Bottega Veneta.
  • B. Prada chosen
    Prada is a renowned Italian luxury fashion house known for its high-end clothing, leather goods, and accessories.
  • C. Prada
    Prada is a small commune in the Pyrénées-Orientales department of southern France, known for its Catalan cultural heritage and scenic location in the Têt River valley.
  • D. Benetton Group
    Benetton Group is a global Italian fashion brand and retailer known for its colorful knitwear, casual clothing, and provocative social-issue advertising campaigns.
  • E. Hermès International
    Hermès International is a French luxury goods manufacturer renowned for its high-end leather goods, fashion accessories, and ready-to-wear collections.
  • 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_69d81c5ae7c88190b0dd41bdafeb5999 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0285fb7c8190be4b90bdc0d6fa53 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8e60e1c81908d51d723e85e0541 completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 10:13 p.m.