Triple

T13706827
Position Surface form Disambiguated ID Type / Status
Subject F91 Dudelange E328661 entity
Predicate foundedByMergerOf P6637 FINISHED
Object US Dudelange
US Dudelange was a former Luxembourgish football club that later became part of the merger creating F91 Dudelange.
E328661 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: US Dudelange | Statement: [F91 Dudelange, foundedByMergerOf, US Dudelange]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: US Dudelange
Context triple: [F91 Dudelange, foundedByMergerOf, US Dudelange]
  • A. Dudelange
    Dudelange is a town in southern Luxembourg known as one of the country’s larger industrial and residential centers near the French border.
  • B. Differdange
    Differdange is a town in southwestern Luxembourg known as an industrial center with a strong steelmaking heritage.
  • C. F91 Dudelange
    F91 Dudelange is a prominent Luxembourgish football club known for its domestic success and regular participation in European competitions.
  • D. Rodange
    Rodange is a town in southwestern Luxembourg known as an important railway junction near the Belgian and French borders.
  • E. Betzdorf, Luxembourg
    Betzdorf, Luxembourg is a small commune in eastern Luxembourg notable as the birthplace of Henri, the current Grand Duke of Luxembourg.
  • 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: US Dudelange
Triple: [F91 Dudelange, foundedByMergerOf, US Dudelange]
Generated description
US Dudelange was a former Luxembourgish football club that later became part of the merger creating F91 Dudelange.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: US Dudelange
Target entity description: US Dudelange was a former Luxembourgish football club that later became part of the merger creating F91 Dudelange.
  • A. Dudelange
    Dudelange is a town in southern Luxembourg known as one of the country’s larger industrial and residential centers near the French border.
  • B. Differdange
    Differdange is a town in southwestern Luxembourg known as an industrial center with a strong steelmaking heritage.
  • C. F91 Dudelange chosen
    F91 Dudelange is a prominent Luxembourgish football club known for its domestic success and regular participation in European competitions.
  • D. Rodange
    Rodange is a town in southwestern Luxembourg known as an important railway junction near the Belgian and French borders.
  • E. Betzdorf, Luxembourg
    Betzdorf, Luxembourg is a small commune in eastern Luxembourg notable as the birthplace of Henri, the current Grand Duke of Luxembourg.
  • F. None of above.

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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dcad18d48c8190a26be865c31975d6 completed April 13, 2026, 8:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7945b63288190819621830ac1c0d6 completed May 3, 2026, 6:30 p.m.
NEDg Description generation batch_69f796df515c819080a95621a8308629 completed May 3, 2026, 6:41 p.m.
NED2 Entity disambiguation (via description) batch_69f7976846308190b1a5c056609fca34 completed May 3, 2026, 6:43 p.m.
Created at: April 9, 2026, 9:54 p.m.