Triple

T4599143
Position Surface form Disambiguated ID Type / Status
Subject Hjørring E100277 entity
Predicate hasSportsClub P346 FINISHED
Object Vendsyssel FF
Vendsyssel FF is a Danish professional football club based in the town of Hjørring in northern Jutland.
E459668 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: Vendsyssel FF | Statement: [Hjørring, hasSportsClub, Vendsyssel FF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vendsyssel FF
Context triple: [Hjørring, hasSportsClub, Vendsyssel FF]
  • A. TuS Herten
    TuS Herten is a German basketball club where future NBA coach Erik Spoelstra played professionally early in his career.
  • B. Aarhus Håndbold
    Aarhus Håndbold is a professional handball club based in Aarhus, Denmark, competing in the Danish handball league system.
  • C. FC Midtjylland
    FC Midtjylland is a Danish professional football club known for its data-driven approach to player recruitment and performance, competing in the top tier of Danish football.
  • D. Lommel SK
    Lommel SK is a Belgian professional football club that competes in the country’s league system and serves as part of City Football Group’s global network of teams.
  • E. Helsingborgs IF
    Helsingborgs IF is a Swedish professional football club from Helsingborg, known as one of the country’s historically significant teams and a major rival of Landskrona BoIS.
  • 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: Vendsyssel FF
Triple: [Hjørring, hasSportsClub, Vendsyssel FF]
Generated description
Vendsyssel FF is a Danish professional football club based in the town of Hjørring in northern Jutland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vendsyssel FF
Target entity description: Vendsyssel FF is a Danish professional football club based in the town of Hjørring in northern Jutland.
  • A. TuS Herten
    TuS Herten is a German basketball club where future NBA coach Erik Spoelstra played professionally early in his career.
  • B. Aarhus Håndbold
    Aarhus Håndbold is a professional handball club based in Aarhus, Denmark, competing in the Danish handball league system.
  • C. FC Midtjylland
    FC Midtjylland is a Danish professional football club known for its data-driven approach to player recruitment and performance, competing in the top tier of Danish football.
  • D. Lommel SK
    Lommel SK is a Belgian professional football club that competes in the country’s league system and serves as part of City Football Group’s global network of teams.
  • E. Helsingborgs IF
    Helsingborgs IF is a Swedish professional football club from Helsingborg, known as one of the country’s historically significant teams and a major rival of Landskrona BoIS.
  • 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_69bd43cbc014819098b45f435908f88a completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd59707f8c8190b8368f1de887ff2a completed March 20, 2026, 2:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfa54bb0c819081265a6d159ad790 completed March 21, 2026, 1:54 a.m.
NEDg Description generation batch_69bdfb37b1448190a4001b9ed2b79012 completed March 21, 2026, 1:58 a.m.
NED2 Entity disambiguation (via description) batch_69bdfc0e456c81908efa3858d981ccc0 completed March 21, 2026, 2:01 a.m.
Created at: March 20, 2026, 1:11 p.m.