Triple

T19403652
Position Surface form Disambiguated ID Type / Status
Subject Slottsfjellet E485392 entity
Predicate locatedNear P294 FINISHED
Object Tønsberg Brygge 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: Tønsberg Brygge | Statement: [Slottsfjellet, locatedNear, Tønsberg Brygge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tønsberg Brygge
Context triple: [Slottsfjellet, locatedNear, Tønsberg Brygge]
  • A. Kalvebod Brygge
    Kalvebod Brygge is a waterfront area in central Copenhagen known for its modern architecture, office buildings, and harborside promenades along the inner harbor.
  • B. Vestre Bolæren
    Vestre Bolæren is one of the Bolærne islands in the Oslofjord, known for its coastal scenery, outdoor recreation opportunities, and remnants of former military installations.
  • C. Islands Brygge
    Islands Brygge is a waterfront neighborhood in Copenhagen known for its harbor baths, modern residential developments, and lively public spaces along the harbor.
  • D. Bryggen
    Bryggen is the historic Hanseatic wharf district in Bergen, Norway, known for its colorful wooden buildings and status as a UNESCO World Heritage Site.
  • E. Tønsberg harbor chosen
    Tønsberg harbor is a historic waterfront area in Norway’s oldest town, known for its marina, coastal views, and vibrant mix of maritime, cultural, and leisure activities.
  • 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_69d8e8d5162481909db12435d9535c1a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6257937d081909dbc5804d2505938 completed April 20, 2026, 1:09 p.m.
Created at: April 10, 2026, 1:36 p.m.