Triple

T31309952
Position Surface form Disambiguated ID Type / Status
Subject Oslo municipality and Bærum municipality E798434 entity
Predicate shareMetropolitanAreaWith P59960 FINISHED
Object Oslo urban area 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: Oslo urban area | Statement: [Oslo municipality and Bærum municipality, shareMetropolitanAreaWith, Oslo urban area]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: shareMetropolitanAreaWith
Context triple: [Oslo municipality and Bærum municipality, shareMetropolitanAreaWith, Oslo urban area]
  • A. metropolitanAreaWith
    Indicates that one entity is a metropolitan area that includes, is associated with, or encompasses the other entity.
  • B. linksMetropolitanArea
    Indicates a relationship where one entity connects or associates a subject with a specific metropolitan area.
  • C. shareMajorCityRegion chosen
    Indicates that two entities are associated with the same major city or its surrounding metropolitan region.
  • D. adjacentMetropolitanArea
    Indicates that one metropolitan area is directly next to or borders another metropolitan area geographically.
  • E. isMetropolitanArea
    Indicates that a given area functions as a major urban center and its surrounding region, typically characterized by high population density and integrated economic and social activities.
  • F. None of above.

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_69f224e1932c81908fef14f7b03a10b7 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69fed09a12648190affcd9bacf7ca275 completed May 9, 2026, 6:13 a.m.
PD Predicate disambiguation batch_69fecf91d6f481908deb60c965c433ed completed May 9, 2026, 6:09 a.m.
Created at: April 29, 2026, 9:15 p.m.