Triple

T23134206
Position Surface form Disambiguated ID Type / Status
Subject Allerød Municipality E577263 entity
Predicate hasTown P847 FINISHED
Object Blovstrød
Blovstrød is a small town in North Zealand, Denmark, known as a suburban community within the Copenhagen metropolitan area.
 E1574529 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: Blovstrød | Statement: [Allerød Municipality, hasTown, Blovstrød]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Blovstrød
Context triple: [Allerød Municipality, hasTown, Blovstrød]
  • A. Brattværet
    Brattværet is a small Norwegian island that is part of the Smøla archipelago in Møre og Romsdal county.
  • B. Storslett
    Storslett is a small village and administrative center in Nordreisa Municipality in Troms og Finnmark county in northern Norway.
  • C. Dølen
    Dølen was a 19th-century Norwegian weekly periodical, written in Landsmål by Aasmund Olavsson Vinje, that combined literary works with social and political commentary.
  • D. Blånebba
    Blånebba is a prominent mountain peak in Norway’s Romsdal region, known for its dramatic cliffs and scenic hiking routes overlooking the Romsdalen valley.
  • E. Bekkelaget
    Bekkelaget is a coastal residential neighborhood in Oslo, Norway, known for its hillside views over the Oslofjord and its traditional wooden houses.
  • 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: Blovstrød
Triple: [Allerød Municipality, hasTown, Blovstrød]
Generated description
Blovstrød is a small town in North Zealand, Denmark, known as a suburban community within the Copenhagen metropolitan area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Blovstrød
Target entity description: Blovstrød is a small town in North Zealand, Denmark, known as a suburban community within the Copenhagen metropolitan area.
  • A. Brattværet
    Brattværet is a small Norwegian island that is part of the Smøla archipelago in Møre og Romsdal county.
  • B. Storslett
    Storslett is a small village and administrative center in Nordreisa Municipality in Troms og Finnmark county in northern Norway.
  • C. Dølen
    Dølen was a 19th-century Norwegian weekly periodical, written in Landsmål by Aasmund Olavsson Vinje, that combined literary works with social and political commentary.
  • D. Blånebba
    Blånebba is a prominent mountain peak in Norway’s Romsdal region, known for its dramatic cliffs and scenic hiking routes overlooking the Romsdalen valley.
  • E. Bekkelaget
    Bekkelaget is a coastal residential neighborhood in Oslo, Norway, known for its hillside views over the Oslofjord and its traditional wooden houses.
  • 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_69e245f7b0e481909c473ff4e6a54e2c completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e8ab9b08190969984f8c4494b0f completed April 29, 2026, 4:52 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c308901088190a3dd91561a5c123f completed May 19, 2026, 9:42 a.m.
NEDg Description generation batch_6a0c3468ecf48190ae05d776b6b472c6 completed May 19, 2026, 9:59 a.m.
NED2 Entity disambiguation (via description) batch_6a0c34b344248190a6f1b34dede10db1 completed May 19, 2026, 10 a.m.
Created at: April 17, 2026, 4 p.m.