Triple

T3547191
Position Surface form Disambiguated ID Type / Status
Subject Puma (licensed watches) E75023 entity
Predicate brandLanguage P15 FINISHED
Object Puma E23437 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: Puma | Statement: [Puma (licensed watches), brandLanguage, Puma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Puma
Context triple: [Puma (licensed watches), brandLanguage, Puma]
  • A. Puma chosen
    Puma is a major German sportswear and athletic footwear brand known for its performance-oriented shoes, apparel, and collaborations with high-profile athletes and designers.
  • B. Diadora
    Diadora is an Italian sportswear and footwear brand known for producing football kits, athletic shoes, and apparel for various professional teams and athletes.
  • C. Bata
    Bata is a major port city on the mainland of Equatorial Guinea, serving as a key economic and transportation hub for the country.
  • D. Onitsuka Tiger
    Onitsuka Tiger is a Japanese athletic footwear and apparel brand known for its retro-styled sneakers and as the predecessor to the modern ASICS corporation.
  • E. Adidas
    Adidas is a global sportswear and equipment company known for its iconic three-stripe branding and production of athletic footwear, apparel, and accessories.
  • 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_69ad85d33c6c819081d5ac1df13b5680 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbfd0eb6081908f1380db4cfade87 completed March 8, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69b432fdda488190a31f74e80685c121 completed March 13, 2026, 3:53 p.m.
Created at: March 8, 2026, 3:20 p.m.