Triple

T1394576
Position Surface form Disambiguated ID Type / Status
Subject Red Bull Arena E30635 entity
Predicate owner P347 FINISHED
Object Red Bull GmbH E33833 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: Red Bull GmbH | Statement: [Red Bull Arena, owner, Red Bull GmbH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Red Bull GmbH
Context triple: [Red Bull Arena, owner, Red Bull GmbH]
  • A. Red Bull GmbH chosen
    Red Bull GmbH is an Austrian beverage company best known for its Red Bull energy drink and extensive global sports sponsorships and team ownerships.
  • B. Reichmann International
    Reichmann International is a real estate development company best known for leading major commercial projects such as Mexico City’s landmark skyscraper Torre Mayor.
  • C. Coca-Cola Refreshments
    Coca-Cola Refreshments is a major bottling and distribution subsidiary responsible for producing and delivering Coca-Cola beverages to retailers and consumers.
  • D. Penske Corporation
    Penske Corporation is a diversified global transportation services company involved in truck leasing, logistics, automotive retail, and motorsports, founded and led by Roger Penske.
  • E. Penske Automotive Group
    Penske Automotive Group is a large international transportation services company and one of the world’s leading automotive and commercial truck retailers.
  • 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_69a498fd4e408190bd73eca30ea9754c completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c37e60388190a8efcb345be7a1b9 completed March 1, 2026, 10:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69acde2c62ac819090179b775ea544c9 completed March 8, 2026, 2:25 a.m.
Created at: March 1, 2026, 7:59 p.m.