Triple

T7268485
Position Surface form Disambiguated ID Type / Status
Subject Storo E161038 entity
Predicate hasShoppingCenter P1495 FINISHED
Object Storo Storsenter E585757 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: Storo Storsenter | Statement: [Storo, hasShoppingCenter, Storo Storsenter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Storo Storsenter
Context triple: [Storo, hasShoppingCenter, Storo Storsenter]
  • A. Storo Storsenter chosen
    Storo Storsenter is one of Oslo’s largest and most popular shopping malls, featuring a wide range of retail stores, dining options, and services.
  • B. Jessheim Storsenter
    Jessheim Storsenter is a large regional shopping mall in Jessheim, Norway, featuring a wide range of retail stores, dining options, and services.
  • C. 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.
  • D. Trondheim Torg shopping center
    Trondheim Torg shopping center is a central retail complex in downtown Trondheim, Norway, featuring a wide range of shops, dining options, and services.
  • E. 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.
  • 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_69c6885181008190b419040e22939c7c completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eae8cc288190bc3ae3c7b38980d0 completed March 27, 2026, 8:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7db1e4f9c8190a23ce5a35073b7c7 completed March 28, 2026, 1:43 p.m.
Created at: March 27, 2026, 2:58 p.m.