Triple

T18644833
Position Surface form Disambiguated ID Type / Status
Subject Novo Nordisk E455777 entity
Predicate formedByMergerOf P77 FINISHED
Object Nordisk Gentofte
Nordisk Gentofte was a Danish pharmaceutical company that later became part of Novo Nordisk, a global leader in diabetes care and biopharmaceuticals.
 E1335207 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: Nordisk Gentofte | Statement: [Novo Nordisk, formedByMergerOf, Nordisk Gentofte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nordisk Gentofte
Context triple: [Novo Nordisk, formedByMergerOf, Nordisk Gentofte]
  • A. Gentofte
    Gentofte is a suburban municipality just north of central Copenhagen in eastern Denmark, known for its affluent residential areas and proximity to the Øresund coast.
  • B. Hvidovre
    Hvidovre is a suburban municipality in the Capital Region of Denmark, located just southwest of central Copenhagen.
  • C. Ballerup
    Ballerup is a suburban municipality near Copenhagen in eastern Denmark, known for its residential areas, business parks, and sports facilities.
  • D. Valby
    Valby is a district in Copenhagen, Denmark, known as an important local transport and residential area within the city.
  • E. Ennore
    Ennore is a coastal industrial and port suburb in the northern part of Chennai, Tamil Nadu, India.
  • 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: Nordisk Gentofte
Triple: [Novo Nordisk, formedByMergerOf, Nordisk Gentofte]
Generated description
Nordisk Gentofte was a Danish pharmaceutical company that later became part of Novo Nordisk, a global leader in diabetes care and biopharmaceuticals.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nordisk Gentofte
Target entity description: Nordisk Gentofte was a Danish pharmaceutical company that later became part of Novo Nordisk, a global leader in diabetes care and biopharmaceuticals.
  • A. Gentofte
    Gentofte is a suburban municipality just north of central Copenhagen in eastern Denmark, known for its affluent residential areas and proximity to the Øresund coast.
  • B. Hvidovre
    Hvidovre is a suburban municipality in the Capital Region of Denmark, located just southwest of central Copenhagen.
  • C. Ballerup
    Ballerup is a suburban municipality near Copenhagen in eastern Denmark, known for its residential areas, business parks, and sports facilities.
  • D. Valby
    Valby is a district in Copenhagen, Denmark, known as an important local transport and residential area within the city.
  • E. Ennore
    Ennore is a coastal industrial and port suburb in the northern part of Chennai, Tamil Nadu, India.
  • 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_69d8d38ea1e88190997e9b231190ba6f completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5500c36188190bfdd7aca73f3c006 completed April 19, 2026, 9:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a050d865fc48190a11ed96ebfdca50d completed May 13, 2026, 11:47 p.m.
NEDg Description generation batch_6a051058f5788190b782a39feb7f6111 completed May 13, 2026, 11:59 p.m.
NED2 Entity disambiguation (via description) batch_6a0510fc0d1081908970c91357bb3444 completed May 14, 2026, 12:02 a.m.
Created at: April 10, 2026, 11:47 a.m.