Triple

T22682969
Position Surface form Disambiguated ID Type / Status
Subject Økern E560829 entity
Predicate locatedNear P294 FINISHED
Object Løren 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: Løren | Statement: [Økern, locatedNear, Løren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Løren
Context triple: [Økern, locatedNear, Løren]
  • A. Løren chosen
    Løren is a rapidly developing residential and commercial neighborhood in Oslo, Norway, known for its modern housing, new infrastructure, and proximity to central city areas.
  • B. Lurøy
    Lurøy is a coastal municipality in Nordland county, Norway, known for its scattered islands, fishing communities, and scenic Arctic landscapes.
  • C. Lorvão
    Lorvão is a civil parish in the municipality of Penacova, in Portugal’s Coimbra District, known historically for the Monastery of Lorvão.
  • D. Lofthus
    Lofthus is a village in Norway’s Hardanger region, known for its fruit orchards, fjord scenery, and role as a gateway to hiking routes like the Hardangervidda plateau.
  • E. Lyø
    Lyø is a small Danish island in the South Funen Archipelago known for its historic village, traditional half-timbered houses, and scenic rural landscapes.
  • 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.