Triple

T18797031
Position Surface form Disambiguated ID Type / Status
Subject Vendsyssel E459660 entity
Predicate hasMajorTown P316 FINISHED
Object Østervrå
Østervrå is a small town in the Vendsyssel region of northern Denmark.
E1364422 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: Østervrå | Statement: [Vendsyssel, hasMajorTown, Østervrå]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Østervrå
Context triple: [Vendsyssel, hasMajorTown, Østervrå]
  • A. Vækerø
    Vækerø is a residential and commercial area in Oslo, Norway, located along the western waterfront and known for its mix of housing, offices, and green spaces.
  • B. Ørnskov
    Ørnskov is a Danish surname most notably borne by business executive Flemming Ørnskov.
  • C. Vildbjerg
    Vildbjerg is a Danish town that serves as the administrative center of the former Trehøje Municipality in the Central Denmark Region.
  • D. Nakskov
    Nakskov is a historic port town in southern Denmark located on the island of Lolland, known for its maritime industry and coastal setting.
  • 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: Østervrå
Triple: [Vendsyssel, hasMajorTown, Østervrå]
Generated description
Østervrå is a small town in the Vendsyssel region of northern Denmark.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Østervrå
Target entity description: Østervrå is a small town in the Vendsyssel region of northern Denmark.
  • A. Vækerø
    Vækerø is a residential and commercial area in Oslo, Norway, located along the western waterfront and known for its mix of housing, offices, and green spaces.
  • B. Ørnskov
    Ørnskov is a Danish surname most notably borne by business executive Flemming Ørnskov.
  • C. Vildbjerg
    Vildbjerg is a Danish town that serves as the administrative center of the former Trehøje Municipality in the Central Denmark Region.
  • D. Nakskov
    Nakskov is a historic port town in southern Denmark located on the island of Lolland, known for its maritime industry and coastal setting.
  • 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_69d8d398c7d4819091cb2f7e48948aeb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5a020821881909749f6a1c6cd195b completed April 20, 2026, 3:40 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0700c7cd348190b3b9b09fb7b07454 completed May 15, 2026, 11:17 a.m.
NEDg Description generation batch_6a0701a602c88190bc06dc616f3be6f1 completed May 15, 2026, 11:21 a.m.
NED2 Entity disambiguation (via description) batch_6a07027372c88190b19ea77d9b610a56 completed May 15, 2026, 11:24 a.m.
Created at: April 10, 2026, 11:53 a.m.