Triple

T1047260
Position Surface form Disambiguated ID Type / Status
Subject Oslo Central Station E22609 entity
Predicate ownedBy P347 FINISHED
Object Bane NOR
Bane NOR is the Norwegian state-owned company responsible for owning, operating, and developing the national railway infrastructure.
 E119733 NE FINISHED

How this triple was built (4 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: Bane NOR | Statement: [Oslo Central Station, ownedBy, Bane NOR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bane NOR
Context triple: [Oslo Central Station, ownedBy, Bane NOR]
  • A. Cobra
    Cobra is a 1986 American action thriller film starring Sylvester Stallone as a tough, rule-breaking cop battling a violent crime cult.
  • B. Bader
    Bader is the maiden surname of Ruth Bader Ginsburg, the late U.S. Supreme Court Justice and pioneering advocate for gender equality.
  • C. Blix
    Blix is a Swedish surname most notably associated with Hans Blix, the former head of the International Atomic Energy Agency and UN weapons inspector.
  • D. Rasor
    Rasor is a comic servant character in John Vanbrugh’s Restoration comedy play "The Provoked Wife."
  • E. Barmedman
    Barmedman is a small rural town in the Riverina region of New South Wales, Australia, known historically for its wheat farming and mineral springs.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bane NOR
Triple: [Oslo Central Station, ownedBy, Bane NOR]
Generated description
Bane NOR is the Norwegian state-owned company responsible for owning, operating, and developing the national railway infrastructure.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bane NOR
Target entity description: Bane NOR is the Norwegian state-owned company responsible for owning, operating, and developing the national railway infrastructure.
  • A. Cobra
    Cobra is a 1986 American action thriller film starring Sylvester Stallone as a tough, rule-breaking cop battling a violent crime cult.
  • B. Bader
    Bader is the maiden surname of Ruth Bader Ginsburg, the late U.S. Supreme Court Justice and pioneering advocate for gender equality.
  • C. Blix
    Blix is a Swedish surname most notably associated with Hans Blix, the former head of the International Atomic Energy Agency and UN weapons inspector.
  • D. Rasor
    Rasor is a comic servant character in John Vanbrugh’s Restoration comedy play "The Provoked Wife."
  • E. Barmedman
    Barmedman is a small rural town in the Riverina region of New South Wales, Australia, known historically for its wheat farming and mineral springs.
  • F. None of above. chosen

Provenance (5 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_69a493da02e081908c13ff5e02a0fe7a completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b84d30888190b66f7245d781957d completed March 1, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3bcb65d08190b2ea04b6de3bb39b completed March 7, 2026, 2:52 p.m.
NEDg Description generation batch_69ac3ce6228881908f429cb0a016a17a completed March 7, 2026, 2:57 p.m.
NED2 Entity disambiguation (via description) batch_69ac3d3ed140819087ede15c555e2f4d completed March 7, 2026, 2:59 p.m.
Created at: March 1, 2026, 7:42 p.m.