Triple

T13706844
Position Surface form Disambiguated ID Type / Status
Subject F91 Dudelange E328661 entity
Predicate hasRival P1375 FINISHED
Object Jeunesse Esch
Jeunesse Esch is a prominent Luxembourgish football club based in Esch-sur-Alzette, known as one of the country’s historically successful teams.
 E1055004 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: Jeunesse Esch | Statement: [F91 Dudelange, hasRival, Jeunesse Esch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jeunesse Esch
Context triple: [F91 Dudelange, hasRival, Jeunesse Esch]
  • A. Jeanneret
    Jeanneret is a Swiss surname most notably associated with architect Pierre Jeanneret, a key collaborator of Le Corbusier in modernist architecture.
  • B. Livarchamps
    Livarchamps is a small village in the municipality of Vaux-sur-Sûre in the Walloon region of Belgium.
  • C. Cantona
    Cantona is the surname of Eric Cantona, the iconic French footballer and actor best known for his influential spell at Manchester United in the 1990s.
  • D. Gsell
    Gsell is a surname of Germanic origin borne by various notable individuals, including artists, scholars, and public figures.
  • E. Lassally
    Lassally is a German-origin surname most notably associated with Walter Lassally, an acclaimed cinematographer known for his work in British and Greek cinema.
  • 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: Jeunesse Esch
Triple: [F91 Dudelange, hasRival, Jeunesse Esch]
Generated description
Jeunesse Esch is a prominent Luxembourgish football club based in Esch-sur-Alzette, known as one of the country’s historically successful teams.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jeunesse Esch
Target entity description: Jeunesse Esch is a prominent Luxembourgish football club based in Esch-sur-Alzette, known as one of the country’s historically successful teams.
  • A. Jeanneret
    Jeanneret is a Swiss surname most notably associated with architect Pierre Jeanneret, a key collaborator of Le Corbusier in modernist architecture.
  • B. Livarchamps
    Livarchamps is a small village in the municipality of Vaux-sur-Sûre in the Walloon region of Belgium.
  • C. Cantona
    Cantona is the surname of Eric Cantona, the iconic French footballer and actor best known for his influential spell at Manchester United in the 1990s.
  • D. Gsell
    Gsell is a surname of Germanic origin borne by various notable individuals, including artists, scholars, and public figures.
  • E. Lassally
    Lassally is a German-origin surname most notably associated with Walter Lassally, an acclaimed cinematographer known for his work in British and Greek cinema.
  • 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_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.