Triple

T19738924
Position Surface form Disambiguated ID Type / Status
Subject North Denmark Region E474059 entity
Predicate containsCity P294 FINISHED
Object Hobro
Hobro is a historic market town in northern Jutland, Denmark, known for its harbor on Mariager Fjord and nearby Viking fortress Fyrkat.
 E1481634 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: Hobro | Statement: [North Denmark Region, containsCity, Hobro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hobro
Context triple: [North Denmark Region, containsCity, Hobro]
  • A. Esbjerg
    Esbjerg is a major Danish port city on the North Sea, known for its offshore oil and wind industry, maritime heritage, and role as a regional economic center in western Jutland.
  • B. Holstebro
    Holstebro is a town in western Jutland, Denmark, known as a regional center that hosts significant Danish Army military facilities.
  • C. Viborg
    Viborg is the Swedish name for the historic Karelian city of Vyborg, located near the Finnish border on the Gulf of Finland.
  • D. Viborg
    Viborg is one of Denmark’s oldest cities, historically significant as a medieval political and religious center on the Jutland peninsula.
  • E. Horsens
    Horsens is a city in eastern Jutland, Denmark, known historically as a market and industrial town and as the birthplace of explorer Vitus Bering.
  • 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: Hobro
Triple: [North Denmark Region, containsCity, Hobro]
Generated description
Hobro is a historic market town in northern Jutland, Denmark, known for its harbor on Mariager Fjord and nearby Viking fortress Fyrkat.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hobro
Target entity description: Hobro is a historic market town in northern Jutland, Denmark, known for its harbor on Mariager Fjord and nearby Viking fortress Fyrkat.
  • A. Esbjerg
    Esbjerg is a major Danish port city on the North Sea, known for its offshore oil and wind industry, maritime heritage, and role as a regional economic center in western Jutland.
  • B. Holstebro
    Holstebro is a town in western Jutland, Denmark, known as a regional center that hosts significant Danish Army military facilities.
  • C. Viborg
    Viborg is one of Denmark’s oldest cities, historically significant as a medieval political and religious center on the Jutland peninsula.
  • D. Viborg
    Viborg is the Swedish name for the historic Karelian city of Vyborg, located near the Finnish border on the Gulf of Finland.
  • E. Horsens
    Horsens is a city in eastern Jutland, Denmark, known historically as a market and industrial town and as the birthplace of explorer Vitus Bering.
  • 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_69d8e517ebd48190979ee76723bcfadf completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6515f6efc8190a3da113847464399 completed April 20, 2026, 4:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a09b40757c881908af169bb49628a28 completed May 17, 2026, 12:26 p.m.
NEDg Description generation batch_6a09b77e73608190a21675b1bd7b8852 completed May 17, 2026, 12:41 p.m.
NED2 Entity disambiguation (via description) batch_6a09b7e6888c8190ba9c22e38c47a773 completed May 17, 2026, 12:43 p.m.
Created at: April 10, 2026, 1:47 p.m.