Triple

T17445881
Position Surface form Disambiguated ID Type / Status
Subject Cadillac Arena E424782 entity
Predicate formerName P65 FINISHED
Object MasterCard Center NE NERFINISHED

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: MasterCard Center | Statement: [Cadillac Arena, formerName, MasterCard Center]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MasterCard Center
Context triple: [Cadillac Arena, formerName, MasterCard Center]
  • A. MasterCard Center chosen
    MasterCard Center is a major multi-purpose indoor arena in Beijing, China, known for hosting professional basketball games, concerts, and large-scale entertainment events.
  • B. Mastercard
    Mastercard is a global financial services corporation best known for its widely used credit and debit card payment network.
  • C. Diners Club International
    Diners Club International is a global charge card and payment network brand known as one of the world’s first multipurpose payment cards, now owned and operated by Discover Financial Services.
  • D. Discover Card
    Discover Card is a major U.S. credit card brand known for its cash-back rewards, no annual fees on many cards, and widespread acceptance.
  • E. Elavon
    Elavon is a global payment processing company that provides merchant acquiring and related financial services to businesses of all sizes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889db0ba481908402409af3b37917 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e44ffafec48190b25980318cea353f completed April 19, 2026, 3:46 a.m.
Created at: April 10, 2026, 5:47 a.m.