Triple

T12541133
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Law, University of Copenhagen E299839 entity
Predicate locatedIn P40 FINISHED
Object Copenhagen, Denmark E12606 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, Denmark | Statement: [Faculty of Law, University of Copenhagen, locatedIn, Copenhagen, Denmark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Copenhagen, Denmark
Context triple: [Faculty of Law, University of Copenhagen, locatedIn, Copenhagen, Denmark]
  • A. Copenhagen chosen
    Copenhagen is the capital and largest city of Denmark, known for its historic architecture, vibrant cultural scene, and high quality of life.
  • B. 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.
  • C. Frederiksberg, Denmark
    Frederiksberg, Denmark is an affluent, centrally located municipality within the Copenhagen urban area, known for its green parks, cultural institutions, and residential character.
  • D. Bergen, Denmark
    Bergen, Denmark is a small Danish town known for its rural character and cultural ties to its German twin town, Bergen.
  • E. Valby, Copenhagen, Denmark
    Valby is a district in the southwestern part of Copenhagen, Denmark, known for its mix of residential areas, green spaces, and its historic association with the Danish film industry.
  • 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_69d6ada707008190aaec1238117c9379 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9546fc620819093335988dbab3256 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6685f99a08190b6fe4cc10f1c8d73 completed May 2, 2026, 9:10 p.m.
Created at: April 8, 2026, 9:57 p.m.