Triple

T3466419
Position Surface form Disambiguated ID Type / Status
Subject Hedda Gabler E73148 entity
Predicate settingLocation P40 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: [Hedda Gabler, settingLocation, Christiania]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christiania
Context triple: [Hedda Gabler, settingLocation, 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. Ørestad
    Ørestad is a modern, rapidly developing district on the island of Amager in Copenhagen, known for its contemporary architecture, mixed-use urban planning, and proximity to both the city center and Copenhagen Airport.
  • E. Innere Stadt
    Innere Stadt is the historic first district and city center of Vienna, Austria, known for its medieval street layout, grand boulevards, and concentration of major cultural and political landmarks.
  • 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_69ad85b224d481908ff8be51338d24ff completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb1090188190ac8aafd87dfaa6a7 completed March 8, 2026, 6:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3680412c0819086da51a05b24a676 completed March 13, 2026, 1:27 a.m.
Created at: March 8, 2026, 3:17 p.m.