Triple

T23076694
Position Surface form Disambiguated ID Type / Status
Subject Mortensrud metro station E575350 entity
Predicate servesNeighborhood P82 FINISHED
Object Mortensrud neighborhood NE NERFINISHED

How this triple was built (3 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: Mortensrud neighborhood | Statement: [Mortensrud metro station, servesNeighborhood, Mortensrud neighborhood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mortensrud neighborhood
Context triple: [Mortensrud metro station, servesNeighborhood, Mortensrud neighborhood]
  • A. Bjølsen neighborhood
    Bjølsen neighborhood is a residential area in Oslo, Norway, known for its mix of historic industrial sites, green spaces, and urban apartment blocks along the Akerselva river.
  • B. Kringsjå neighborhood
    Kringsjå neighborhood is a residential area in Oslo, Norway, known for its proximity to natural surroundings and its large student population.
  • C. Vålerenga neighborhood
    Vålerenga neighborhood is a historic residential area in Oslo, Norway, known for its traditional wooden houses, working-class roots, and strong local football culture centered around Vålerenga IF.
  • D. Lambertseter neighborhood
    Lambertseter neighborhood is a residential area in Oslo, Norway, known as one of the city’s first planned suburbs with significant post-war housing developments.
  • E. Bakklandet neighborhood
    Bakklandet neighborhood is a historic and picturesque district in Trondheim, Norway, known for its colorful wooden houses, cobbled streets, and riverside cafés.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mortensrud neighborhood
Target entity description: Mortensrud neighborhood is a residential district in the Søndre Nordstrand borough of Oslo, Norway, known for its diverse population, modern housing developments, and access to nature and public transit.
  • A. Bjølsen neighborhood
    Bjølsen neighborhood is a residential area in Oslo, Norway, known for its mix of historic industrial sites, green spaces, and urban apartment blocks along the Akerselva river.
  • B. Kringsjå neighborhood
    Kringsjå neighborhood is a residential area in Oslo, Norway, known for its proximity to natural surroundings and its large student population.
  • C. Vålerenga neighborhood
    Vålerenga neighborhood is a historic residential area in Oslo, Norway, known for its traditional wooden houses, working-class roots, and strong local football culture centered around Vålerenga IF.
  • D. Lambertseter neighborhood
    Lambertseter neighborhood is a residential area in Oslo, Norway, known as one of the city’s first planned suburbs with significant post-war housing developments.
  • E. Bakklandet neighborhood
    Bakklandet neighborhood is a historic and picturesque district in Trondheim, Norway, known for its colorful wooden houses, cobbled streets, and riverside cafés.
  • F. None of above. chosen

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_69e245be28d48190ad1348d5a73db37d completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18c63870c81909a08a3b410c0d417 completed April 29, 2026, 4:43 a.m.
Created at: April 17, 2026, 3:56 p.m.