Triple

T18341282
Position Surface form Disambiguated ID Type / Status
Subject Klarabergsgatan E439408 entity
Predicate hasLandmark P105 FINISHED
Object Åhléns City 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: Åhléns City | Statement: [Klarabergsgatan, hasLandmark, Åhléns City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Åhléns City
Context triple: [Klarabergsgatan, hasLandmark, Åhléns City]
  • A. Åhléns City chosen
    Åhléns City is a major multi-level department store and shopping complex in central Stockholm, known for its wide range of fashion, beauty, home goods, and lifestyle products.
  • B. Apphus
    Apphus is the cognomen (family or distinguishing name) of Jonathan Apphus, a prominent leader of the Maccabean revolt in 2nd-century BCE Judea.
  • C. Mölndal Galleria
    Mölndal Galleria is a modern shopping mall in Mölndal, Sweden, featuring a wide range of retail stores, restaurants, and services.
  • D. Mall of Scandinavia
    Mall of Scandinavia is one of the largest and most modern shopping and entertainment centers in Scandinavia, located just north of central Stockholm in Sweden.
  • E. Oslo City shopping centre
    Oslo City shopping centre is a large, centrally located shopping mall in downtown Oslo, Norway, featuring numerous retail stores, restaurants, and services.
  • 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_69d8b9175fec8190af865699b4e64d8c completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e514f0b5a881908056d48bc48124b8 completed April 19, 2026, 5:46 p.m.
Created at: April 10, 2026, 10:37 a.m.