Triple

T14818728
Position Surface form Disambiguated ID Type / Status
Subject Ørestad E348386 entity
Predicate near P350 FINISHED
Object Copenhagen city centre E368543 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: Copenhagen city centre | Statement: [Ørestad, near, Copenhagen city centre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Copenhagen city centre
Context triple: [Ørestad, near, Copenhagen city centre]
  • A. 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.
  • B. Indre By chosen
    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. Copenhagen
    Copenhagen is the capital and largest city of Denmark, known for its historic architecture, vibrant cultural scene, and high quality of life.
  • D. Copenhagen
    Copenhagen is a popular American smokeless tobacco (chewing tobacco/dip) brand known for its long history and strong presence in the U.S. market.
  • E. Copenhagen metropolitan area
    The Copenhagen metropolitan area is the densely populated urban region centered on Denmark’s capital city, encompassing its surrounding suburbs and commuter towns.
  • 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_69d822eb8f588190bf53445e730a934f completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decfe4cf38819090f25ef045351d5d completed April 14, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e7de2c08190abf827376cd415ba completed May 9, 2026, 12:23 a.m.
Created at: April 10, 2026, 1:50 a.m.