Triple

T7268431
Position Surface form Disambiguated ID Type / Status
Subject Mortensrud E161037 entity
Predicate locatedInAdministrativeTerritory P40 FINISHED
Object Søndre Nordstrand E138821 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: Søndre Nordstrand | Statement: [Mortensrud, locatedInAdministrativeTerritory, Søndre Nordstrand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Søndre Nordstrand
Context triple: [Mortensrud, locatedInAdministrativeTerritory, Søndre Nordstrand]
  • A. Nordstrand
    Nordstrand is a mainly residential borough in the southeastern part of Oslo, Norway, known for its hillside location overlooking the Oslofjord.
  • B. Nordstrand
    Nordstrand is a popular sandy beach area on the North Sea island of Norderney in Germany, known for its coastal scenery and recreational opportunities.
  • C. Sogndalstrand
    Sogndalstrand is a historic coastal village in southwestern Norway known for its well-preserved wooden buildings and picturesque harbor setting.
  • D. Lyngseidet
    Lyngseidet is a small coastal village in northern Norway, known for its scenic fjord and mountain surroundings on the Lyngen Peninsula.
  • E. Søndre Nordstrand district chosen
    Søndre Nordstrand district is a borough in the southern part of Oslo, Norway, known for its diverse population and mix of residential areas and green spaces.
  • 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.