Triple

T22740399
Position Surface form Disambiguated ID Type / Status
Subject Sørenga E562394 entity
Predicate hasPublicSpace P105 FINISHED
Object Sørenga Sjøbad 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: Sørenga Sjøbad | Statement: [Sørenga, hasPublicSpace, Sørenga Sjøbad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sørenga Sjøbad
Context triple: [Sørenga, hasPublicSpace, Sørenga Sjøbad]
  • A. Bygdøy Sjøbad
    Bygdøy Sjøbad is a popular Oslo seaside bathing spot with a sandy beach, piers, and swimming facilities on the Bygdøy peninsula.
  • B. Sjøbadet
    Sjøbadet is a popular public beach and recreational seaside area in the coastal town of Moss, Norway.
  • C. Sørenga chosen
    Sørenga is a modern waterfront neighborhood in Oslo, Norway, known for its residential developments, seaside promenade, and popular public seawater pool and beach.
  • D. Sjøbygda
    Sjøbygda is a small village in Trøndelag county, Norway, situated within the municipality of Indre Fosen (historically Leksvik).
  • E. Råketøya
    Råketøya is a small Norwegian island that is part of the Smøla archipelago in Møre og Romsdal county.
  • 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_69e245513a5c81908d5cb471b4fc429d completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17972fde8819086094cea289a2af8 completed April 29, 2026, 3:22 a.m.
Created at: April 17, 2026, 3:23 p.m.