Triple

T19822139
Position Surface form Disambiguated ID Type / Status
Subject Arenastaden E476220 entity
Predicate hasOfficeComplex P1268 FINISHED
Object SEB headquarters 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: SEB headquarters | Statement: [Arenastaden, hasOfficeComplex, SEB headquarters]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SEB headquarters
Context triple: [Arenastaden, hasOfficeComplex, SEB headquarters]
  • A. SEB chosen
    SEB is a major Swedish financial group and bank, historically linked to the influential Wallenberg family and known for its corporate and investment banking services in Northern Europe.
  • B. SEB
    SEB is the IATA airport code for Sabha Airport, which serves the city of Sabha in southwestern Libya.
  • C. Valbo Köpcentrum
    Valbo Köpcentrum is a major regional shopping mall in Valbo, Sweden, featuring a wide range of retail stores, services, and dining options.
  • D. Kockums AB
    Kockums AB was a Swedish shipbuilding company best known for designing and constructing naval vessels, including submarines, before becoming part of Saab Kockums.
  • E. IKEA Restaurant
    IKEA Restaurant is the in-store dining area of IKEA that serves affordable, cafeteria-style meals—often featuring Swedish specialties like meatballs—to shoppers.
  • 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_69d8e51c7c188190b926f3a2a7b5f881 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e654ffb37c8190be540a793befe16c completed April 20, 2026, 4:31 p.m.
Created at: April 10, 2026, 1:50 p.m.