Triple

T22184025
Position Surface form Disambiguated ID Type / Status
Subject Magnus Poulsson E548244 entity
Predicate notableWork P4 FINISHED
Object Bærum City Hall 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: Bærum City Hall | Statement: [Magnus Poulsson, notableWork, Bærum City Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bærum City Hall
Context triple: [Magnus Poulsson, notableWork, Bærum City Hall]
  • A. Bærum rådhus chosen
    Bærum rådhus is the municipal town hall of Bærum in Norway, serving as the administrative and political center of the municipality.
  • B. Drammen City Hall
    Drammen City Hall is the main municipal government building of the city of Drammen in Norway, known for its prominent location and role as an administrative and civic center.
  • C. Gjøvik Town Hall
    Gjøvik Town Hall is the main municipal administrative building and civic center of the town of Gjøvik in Norway.
  • D. Bærum Kulturhus
    Bærum Kulturhus is a major cultural center in Sandvika, Norway, hosting a wide range of performances, concerts, and arts events.
  • E. Sandvika City Hall
    Sandvika City Hall is a municipal government building in Sandvika, Norway, recognized as a notable example of architect Magnus Poulsson’s work.
  • 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_69e11e3e0c7c8190b30d278845e2497e completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12aa75440819084cbe9176b9edb47 completed April 28, 2026, 9:46 p.m.
Created at: April 16, 2026, 8:35 p.m.