Triple

T14373438
Position Surface form Disambiguated ID Type / Status
Subject Watches and Jewelry E356411 entity
Predicate brandPortfolioOwner P99659 FINISHED
Object Bulgari E317092 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: Bulgari | Statement: [Watches and Jewelry, brandPortfolioOwner, Bulgari]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bulgari
Context triple: [Watches and Jewelry, brandPortfolioOwner, Bulgari]
  • A. Bulgari chosen
    Bulgari is a renowned Italian luxury brand celebrated for its high-end jewelry, watches, accessories, and fragrances.
  • B. Bulga
    Bulga is a rural locality in the Singleton Shire of New South Wales, Australia, known for its agricultural landscape and proximity to the Hunter Valley region.
  • C. Brixia
    Brixia is the ancient Roman name for the Italian city of Brescia, historically known as an important settlement in northern Italy.
  • D. Rumen
    Rumen is a masculine given name commonly used in Bulgaria and other Slavic countries.
  • E. Bulgaria
    Bulgaria is a Southeast European country on the Balkan Peninsula, known for its rich historical heritage, diverse landscapes, and role as a member of the European Union and NATO.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de9007184c8190aebb003cb6548cc8 completed April 14, 2026, 7:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c5514688190be90776c8764d4f3 completed May 8, 2026, 2:37 a.m.
Created at: April 10, 2026, 1:15 a.m.