Triple

T22329974
Position Surface form Disambiguated ID Type / Status
Subject Lambertseter Line E551997 entity
Predicate servesDistrict P82 FINISHED
Object Lambertseter 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: Lambertseter | Statement: [Lambertseter Line, servesDistrict, Lambertseter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lambertseter
Context triple: [Lambertseter Line, servesDistrict, Lambertseter]
  • A. Lambertseter chosen
    Lambertseter is a residential borough in Oslo, Norway, known as one of the country’s first planned suburban housing areas with extensive post-war apartment developments.
  • B. Sæter
    Sæter is a residential and commercial neighborhood in the Nordstrand borough of Oslo, Norway, known for its local center with shops, services, and public transport connections.
  • C. Bjerkreim
    Bjerkreim is a rural municipality in southwestern Norway known for its rivers, salmon fishing, and agricultural landscape.
  • D. Larsnes
    Larsnes is a village in Møre og Romsdal county, Norway, known as a local hub for maritime industries and services in the Sande area.
  • E. Sagene
    Sagene is a central district in Oslo, Norway, known for its historic industrial heritage along the Akerselva river and its mix of old workers’ housing and modern urban development.
  • 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_69e11e482f788190b78d1588fc26d606 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1577a9c348190b8662142afa832be completed April 29, 2026, 12:57 a.m.
Created at: April 16, 2026, 8:43 p.m.