Triple

T14818740
Position Surface form Disambiguated ID Type / Status
Subject Ørestad E348386 entity
Predicate hasLandmark P105 FINISHED
Object DR Byen
DR Byen is the headquarters and main production complex of the Danish Broadcasting Corporation in Copenhagen, known for its modern architecture and major media facilities.
 E1121557 NE FINISHED

How this triple was built (4 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: DR Byen | Statement: [Ørestad, hasLandmark, DR Byen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DR Byen
Context triple: [Ørestad, hasLandmark, DR Byen]
  • A. Inderhavnen
    Inderhavnen is a central inner harbor area in Copenhagen, Denmark, known for its waterfront promenades, historic buildings, and maritime activity.
  • B. Koldingen
    Koldingen is a village and district of the town of Pattensen in Lower Saxony, Germany.
  • C. Rødby
    Rødby is a small town on the Danish island of Lolland, known historically as a ferry port linking Denmark and Germany across the Baltic Sea.
  • D. Ryggebyen
    Ryggebyen is a small urban settlement in Østfold, Norway, functioning as the main local hub for services and administration in the Rygge area.
  • E. Solrød
    Solrød is a coastal town in eastern Denmark, located on the shores of Køge Bay south of Copenhagen.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: DR Byen
Triple: [Ørestad, hasLandmark, DR Byen]
Generated description
DR Byen is the headquarters and main production complex of the Danish Broadcasting Corporation in Copenhagen, known for its modern architecture and major media facilities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DR Byen
Target entity description: DR Byen is the headquarters and main production complex of the Danish Broadcasting Corporation in Copenhagen, known for its modern architecture and major media facilities.
  • A. Inderhavnen
    Inderhavnen is a central inner harbor area in Copenhagen, Denmark, known for its waterfront promenades, historic buildings, and maritime activity.
  • B. Koldingen
    Koldingen is a village and district of the town of Pattensen in Lower Saxony, Germany.
  • C. Rødby
    Rødby is a small town on the Danish island of Lolland, known historically as a ferry port linking Denmark and Germany across the Baltic Sea.
  • D. Ryggebyen
    Ryggebyen is a small urban settlement in Østfold, Norway, functioning as the main local hub for services and administration in the Rygge area.
  • E. Solrød
    Solrød is a coastal town in eastern Denmark, located on the shores of Køge Bay south of Copenhagen.
  • F. None of above. chosen

Provenance (5 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_69fe389940e081908ad627955cb8d52e completed May 8, 2026, 7:25 p.m.
NEDg Description generation batch_69fe3a315d2c81908db44e7792908e39 completed May 8, 2026, 7:32 p.m.
NED2 Entity disambiguation (via description) batch_69fe3bda81cc8190b256ec6284383dde completed May 8, 2026, 7:39 p.m.
Created at: April 10, 2026, 1:50 a.m.