Triple

T22863147
Position Surface form Disambiguated ID Type / Status
Subject Eilif Peterssen E566978 entity
Predicate placeOfBirth P1 FINISHED
Object Christiania 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: Christiania | Statement: [Eilif Peterssen, placeOfBirth, Christiania]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christiania
Context triple: [Eilif Peterssen, placeOfBirth, Christiania]
  • A. Christiania chosen
    Christiania is the former name of Norway’s capital city, Oslo, used from the 17th century until the early 20th century.
  • B. Freetown Christiania
    Freetown Christiania is a semi-autonomous, alternative community and cultural district in Copenhagen known for its countercultural lifestyle, art, and unique self-governance.
  • C. Inner City of Copenhagen
    The Inner City of Copenhagen is the historic and commercial heart of Denmark’s capital, known for its medieval street layout, iconic landmarks, and dense mix of cultural, political, and shopping districts.
  • D. Tjuvholmen
    Tjuvholmen is a modern waterfront district in central Oslo known for its contemporary architecture, art galleries, and seaside promenade.
  • E. Sydhavn
    Sydhavn is a district in Copenhagen, Denmark, known for its former industrial harbor areas now undergoing redevelopment into residential and commercial neighborhoods.
  • 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_69e24589083081908d5694c4fdc80086 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17eff1c18819081dc9dfc1816f746 completed April 29, 2026, 3:46 a.m.
Created at: April 17, 2026, 3:38 p.m.