Triple

T6655711
Position Surface form Disambiguated ID Type / Status
Subject Sentrum, Oslo E150936 entity
Predicate contains P35 FINISHED
Object Karl Johans gate E52884 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: Karl Johans gate | Statement: [Sentrum, Oslo, contains, Karl Johans gate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karl Johans gate
Context triple: [Sentrum, Oslo, contains, Karl Johans gate]
  • A. Kongens gate
    Kongens gate is one of the main historic streets in the central district of Trondheim, Norway, known for its shops, services, and traditional urban architecture.
  • B. Karl Johans gate, Oslo chosen
    Karl Johans gate, Oslo is the city’s main central boulevard, known for its shops, cafes, and landmarks, and for connecting the Royal Palace with key institutions including the Parliament of Norway.
  • C. Trondheimsveien
    Trondheimsveien is a major thoroughfare in Oslo, Norway, serving as an important traffic artery through the city and its northeastern districts.
  • D. Møllergata
    Møllergata is a central street in Oslo, Norway, known for its historic buildings and proximity to key political and commercial areas.
  • E. Bogstadveien
    Bogstadveien is a prominent shopping and commercial street in Oslo, Norway, known for its boutiques, cafes, and central location.
  • 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_69c687f2c9508190a60b9aad31d3f358 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b06dbbf88190b39564a688c25a24 completed March 27, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6eefffdfc8190bc191606bdb481a5 completed March 27, 2026, 8:56 p.m.
Created at: March 27, 2026, 2:01 p.m.