Triple

T18797026
Position Surface form Disambiguated ID Type / Status
Subject Vendsyssel E459660 entity
Predicate hasMajorTown P316 FINISHED
Object Tårs
Tårs is a small town in northern Jutland, Denmark, known as one of the local centers within the Vendsyssel region.
 E1342732 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: Tårs | Statement: [Vendsyssel, hasMajorTown, Tårs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tårs
Context triple: [Vendsyssel, hasMajorTown, Tårs]
  • A. Torsby
    Torsby is a small town in Värmland County, Sweden, known for its strong motorsport culture and role as a former base for Rally Sweden.
  • B. Torsåker
    Torsåker is a small locality in central Sweden known for its rural character and historical ties to the surrounding Hofors area.
  • C. Tingsryd
    Tingsryd is a small locality and municipality in southern Sweden known for its rural landscapes, lakes, and traditional Swedish countryside character.
  • D. Kårsta
    Kårsta is a locality in Vallentuna Municipality, Sweden, known as the northern terminus of Stockholm’s Roslagsbanan narrow-gauge railway line.
  • E. Strömholm
    Strömholm is a Swedish surname most notably associated with Stig Strömholm, a prominent jurist and academic.
  • 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: Tårs
Triple: [Vendsyssel, hasMajorTown, Tårs]
Generated description
Tårs is a small town in northern Jutland, Denmark, known as one of the local centers within the Vendsyssel region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tårs
Target entity description: Tårs is a small town in northern Jutland, Denmark, known as one of the local centers within the Vendsyssel region.
  • A. Torsby
    Torsby is a small town in Värmland County, Sweden, known for its strong motorsport culture and role as a former base for Rally Sweden.
  • B. Torsåker
    Torsåker is a small locality in central Sweden known for its rural character and historical ties to the surrounding Hofors area.
  • C. Tingsryd
    Tingsryd is a small locality and municipality in southern Sweden known for its rural landscapes, lakes, and traditional Swedish countryside character.
  • D. Kårsta
    Kårsta is a locality in Vallentuna Municipality, Sweden, known as the northern terminus of Stockholm’s Roslagsbanan narrow-gauge railway line.
  • E. Strömholm
    Strömholm is a Swedish surname most notably associated with Stig Strömholm, a prominent jurist and academic.
  • 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_6a05472244488190be57a1bb7d1be5a1 completed May 14, 2026, 3:53 a.m.
NEDg Description generation batch_6a054859b270819081912c2110d30263 completed May 14, 2026, 3:58 a.m.
NED2 Entity disambiguation (via description) batch_6a0548f1ed74819090775763f4976a1a completed May 14, 2026, 4 a.m.
Created at: April 10, 2026, 11:53 a.m.