Triple

T7819390
Position Surface form Disambiguated ID Type / Status
Subject Edvard Grieg E181089 entity
Predicate workLocation P7 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: [Edvard Grieg, workLocation, Christiania]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christiania
Context triple: [Edvard Grieg, workLocation, 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. Tjuvholmen
    Tjuvholmen is a modern waterfront district in central Oslo known for its contemporary architecture, art galleries, and seaside promenade.
  • D. Indre By
    Indre By is the historic city center of Copenhagen, Denmark, known for its cobblestone streets, canals, and many of the capital’s main cultural and architectural landmarks.
  • E. Nørrebro
    Nørrebro is a vibrant, multicultural district in Copenhagen known for its lively street life, diverse communities, and mix of historic and modern urban culture.
  • 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_69ca828153f48190bdb27ac46f8e0745 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69caf97247c481908b18287eb7ee0a53 completed March 30, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb149266e88190a582b11d68702a6a completed March 31, 2026, 12:25 a.m.
Created at: March 30, 2026, 4:40 p.m.