Triple

T6331635
Position Surface form Disambiguated ID Type / Status
Subject Nordre Aker E142393 entity
Predicate contains P35 FINISHED
Object Storo E161038 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 | Statement: [Nordre Aker, contains, Storo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Storo
Context triple: [Nordre Aker, contains, Storo]
  • A. Storo chosen
    Storo is a neighborhood and transport hub in Oslo, Norway, known for its major shopping center and connections to tram, metro, and bus lines.
  • B. Støre
    Støre is a Norwegian surname most prominently associated with Jonas Gahr Støre, the Prime Minister of Norway and leader of the Labour Party.
  • C. Stordal
    Stordal is a small village and former municipality in western Norway, known for its scenic fjord landscape and traditional Norwegian architecture.
  • D. Stord
    Stord is a large island and municipality in Vestland county, western Norway, known for its industrial activity and location along major fjords and shipping routes.
  • E. Sandvika
    Sandvika is a town in southeastern Norway that serves as the administrative center of Bærum and a commercial hub in the Greater Oslo Region.
  • 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_69c008d4d8e88190ad301c05b08722ac completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06514cbe8819096dbeb17ccb3e3d5 completed March 22, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c63862698c8190a23f9f228a7cc8a7 completed March 27, 2026, 7:57 a.m.
Created at: March 22, 2026, 4:30 p.m.