Triple

T22683150
Position Surface form Disambiguated ID Type / Status
Subject Groruddalen E560834 entity
Predicate hasNeighbourhood P4813 FINISHED
Object Veitvet 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: Veitvet | Statement: [Groruddalen, hasNeighbourhood, Veitvet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Veitvet
Context triple: [Groruddalen, hasNeighbourhood, Veitvet]
  • A. Veitvet chosen
    Veitvet is a residential neighborhood in Oslo, Norway, known for its apartment blocks, local shopping center, and multicultural community.
  • B. Veidnes
    Veidnes is a small coastal village located in the municipality of Lebesby in northern Norway.
  • C. Varteig
    Varteig is a historic rural parish in southeastern Norway, known as the birthplace and home region of Inga of Varteig, mother of King Håkon Håkonsson.
  • D. Hvitserk
    Hvitserk is a legendary Viking warrior and one of the sons of Ragnar Lothbrok, often depicted as a brother and close ally of Ivar the Boneless in Norse sagas and popular media.
  • E. Vitte
    Vitte is the largest village and main tourist and administrative center on the Baltic Sea island of Hiddensee in Germany.
  • 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_69e2454d71b48190a1f80af9f82b6fcf completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1786204d88190a837a5f04e16e94c completed April 29, 2026, 3:17 a.m.
Created at: April 17, 2026, 3:12 p.m.