Triple

T16343675
Position Surface form Disambiguated ID Type / Status
Subject PostFinance Arena E396873 entity
Predicate namedAfter P63 FINISHED
Object PostFinance E634666 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: PostFinance | Statement: [PostFinance Arena, namedAfter, PostFinance]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PostFinance
Context triple: [PostFinance Arena, namedAfter, PostFinance]
  • A. PostFinance chosen
    PostFinance is a major Swiss financial services provider offering banking and payment solutions, particularly known for its nationwide accessibility and role in everyday transactions.
  • B. Worldline
    Worldline is a French multinational company specializing in payment and transactional services, recognized as a major European player in digital payments.
  • C. Girobank
    Girobank was a British state-owned financial institution that provided banking and giro transfer services, originally established and run through the national postal system.
  • D. Postbank
    Postbank is a major German retail bank known for offering everyday banking and financial services to private and small-business customers.
  • E. Iipay
    Iipay is an alternate name for the Ipai people, a Native American group indigenous to southern California and northern Baja California.
  • 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_69d87f26864c819088365ca381a003c2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2da0c90e0819086f0a80a10cd79f3 completed April 18, 2026, 1:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002db00b4081909573afc66366a91c completed May 10, 2026, 7:03 a.m.
Created at: April 10, 2026, 5:07 a.m.