Triple

T1845908
Position Surface form Disambiguated ID Type / Status
Subject Danish Army E41281 entity
Predicate garrison P75 FINISHED
Object Holstebro
Holstebro is a town in western Jutland, Denmark, known as a regional center that hosts significant Danish Army military facilities.
 E261265 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: Holstebro | Statement: [Danish Army, garrison, Holstebro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Holstebro
Context triple: [Danish Army, garrison, Holstebro]
  • A. Vejle
    Vejle is a Danish city known for its scenic fjord setting, rolling hills, and role as a regional commercial and transportation hub in southeastern Jutland.
  • B. Aabenraa
    Aabenraa is a coastal town and seaport in southern Denmark, near the German border, known historically for shipping and trade.
  • C. Hjørring
    Hjørring is a historic town in northern Denmark known as one of the oldest settlements in the Vendsyssel region and a local commercial and cultural center.
  • D. Kolding
    Kolding is a historic Danish city in Southern Jutland known for Koldinghus Castle, its fjord-side location, and its role as a regional cultural and educational center.
  • E. Svendborg
    Svendborg is a historic coastal town and seaport in southern Denmark known for its maritime heritage and location on the island of Funen.
  • 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: Holstebro
Triple: [Danish Army, garrison, Holstebro]
Generated description
Holstebro is a town in western Jutland, Denmark, known as a regional center that hosts significant Danish Army military facilities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Holstebro
Target entity description: Holstebro is a town in western Jutland, Denmark, known as a regional center that hosts significant Danish Army military facilities.
  • A. Vejle
    Vejle is a Danish city known for its scenic fjord setting, rolling hills, and role as a regional commercial and transportation hub in southeastern Jutland.
  • B. Aabenraa
    Aabenraa is a coastal town and seaport in southern Denmark, near the German border, known historically for shipping and trade.
  • C. Hjørring
    Hjørring is a historic town in northern Denmark known as one of the oldest settlements in the Vendsyssel region and a local commercial and cultural center.
  • D. Kolding
    Kolding is a historic Danish city in Southern Jutland known for Koldinghus Castle, its fjord-side location, and its role as a regional cultural and educational center.
  • E. Svendborg
    Svendborg is a historic coastal town and seaport in southern Denmark known for its maritime heritage and location on the island of Funen.
  • 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_69a88648cd44819093303206d96d76ad completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb051640c819088a8b28a03f57331 completed March 7, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69aea8367a288190ac4dcd2f06505982 completed March 9, 2026, 11 a.m.
NEDg Description generation batch_69aeabf0b5608190a8c90a3af3d6ea1e completed March 9, 2026, 11:16 a.m.
NED2 Entity disambiguation (via description) batch_69aead0002508190863cb78497307b8a completed March 9, 2026, 11:20 a.m.
Created at: March 4, 2026, 7:33 p.m.