Triple

T15095640
Position Surface form Disambiguated ID Type / Status
Subject Jørgen Tesman E360528 entity
Predicate settingOfActivity P1957 FINISHED
Object Christiania E153896 NE FINISHED

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: [Jørgen Tesman, settingOfActivity, Christiania]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christiania
Context triple: [Jørgen Tesman, settingOfActivity, 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 (3 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_69d85a035aa88190b52a139d3a1b7b6d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005466e9c8190a68e1fbeb8922b1a completed April 15, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69feae21134c81908939ad6ce46703d8 completed May 9, 2026, 3:46 a.m.
Created at: April 10, 2026, 3:04 a.m.