Triple

T10852069
Position Surface form Disambiguated ID Type / Status
Subject Jyske Bank Boxen E256168 entity
Predicate namedAfter P63 FINISHED
Object Jyske Bank E888844 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: Jyske Bank | Statement: [Jyske Bank Boxen, namedAfter, Jyske Bank]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jyske Bank
Context triple: [Jyske Bank Boxen, namedAfter, Jyske Bank]
  • A. Jyske Bank chosen
    Jyske Bank is one of Denmark’s largest financial institutions, offering a wide range of banking and financial services to individuals and businesses.
  • B. Danske Bank
    Danske Bank is a major Nordic financial institution headquartered in Copenhagen, Denmark, offering a wide range of banking and financial services across Northern Europe.
  • C. Skandinaviska Enskilda Banken
    Skandinaviska Enskilda Banken (SEB) is a major Swedish financial group providing banking and financial services across the Nordic and Baltic regions.
  • D. Eskbank
    Eskbank is a suburban residential area in Midlothian, Scotland, known for its commuter links to Edinburgh and its mix of traditional and modern housing.
  • E. Svenska Handelsbanken
    Svenska Handelsbanken is a major Swedish bank known for its decentralized organization, conservative risk profile, and strong presence across the Nordic region and the UK.
  • 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_69d6aa83d1448190a66d93c32394d21f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d75117b76c8190b0fb216b1428c3c7 completed April 9, 2026, 7:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff7cc0d648190afb0ce80bac7f3dc completed April 15, 2026, 8:40 p.m.
Created at: April 8, 2026, 9:20 p.m.