Triple

T22890035
Position Surface form Disambiguated ID Type / Status
Subject Nordre gate E567711 entity
Predicate locatedIn P40 FINISHED
Object Midtbyen 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: Midtbyen | Statement: [Nordre gate, locatedIn, Midtbyen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Midtbyen
Context triple: [Nordre gate, locatedIn, Midtbyen]
  • A. Midtbyen district
    Midtbyen district is the central urban area of Trondheim, Norway, known for its historic city center, commercial streets, and cultural landmarks.
  • B. 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.
  • C. Midtbyen, Trondheim chosen
    Midtbyen, Trondheim is the historic city center and main downtown district of Trondheim, Norway, known for its traditional wooden architecture, commercial streets, and cultural landmarks.
  • D. St. Hanshaugen district
    St. Hanshaugen district is a central borough of Oslo, Norway, known for its large public park, historic architecture, and vibrant urban neighborhoods.
  • E. Lambertseter neighborhood
    Lambertseter neighborhood is a residential area in Oslo, Norway, known as one of the city’s first planned suburbs with significant post-war housing developments.
  • 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_69e2458a92ec81908fc1cd5f6407d2ab completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17fc479d48190a8218eceaebd6cc8 completed April 29, 2026, 3:49 a.m.
Created at: April 17, 2026, 3:40 p.m.