Triple

T7550053
Position Surface form Disambiguated ID Type / Status
Subject Belgian Pro League E178506 entity
Predicate sponsor P67 FINISHED
Object Jupiler
Jupiler is a popular Belgian pilsner beer brand widely known for its strong association with football and major sports sponsorships.
 E671839 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: Jupiler | Statement: [Belgian Pro League, sponsor, Jupiler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jupiler
Context triple: [Belgian Pro League, sponsor, Jupiler]
  • A. Le Vin
    Le Vin is a section of Charles Baudelaire’s poetry collection Les Fleurs du mal that explores themes of intoxication, escape, and existential despair through the motif of wine.
  • B. Champagne
    Champagne is a renowned wine-producing region in northeastern France famous for its sparkling wines made primarily from Chardonnay, Pinot Noir, and Pinot Meunier grapes.
  • C. Grimbergen
    Grimbergen is a municipality in the Flemish Brabant province of Belgium, known for its historic Norbertine abbey and the Grimbergen abbey beer.
  • D. Bierges
    Bierges is a village in Walloon Brabant, Belgium, that forms part of the municipality of Wavre.
  • E. Delamotte
    Delamotte is a surname of French origin, often appearing in historical and cultural contexts with various spellings such as De La Motte.
  • 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: Jupiler
Triple: [Belgian Pro League, sponsor, Jupiler]
Generated description
Jupiler is a popular Belgian pilsner beer brand widely known for its strong association with football and major sports sponsorships.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jupiler
Target entity description: Jupiler is a popular Belgian pilsner beer brand widely known for its strong association with football and major sports sponsorships.
  • A. Le Vin
    Le Vin is a section of Charles Baudelaire’s poetry collection Les Fleurs du mal that explores themes of intoxication, escape, and existential despair through the motif of wine.
  • B. Champagne
    Champagne is a renowned wine-producing region in northeastern France famous for its sparkling wines made primarily from Chardonnay, Pinot Noir, and Pinot Meunier grapes.
  • C. Grimbergen
    Grimbergen is a municipality in the Flemish Brabant province of Belgium, known for its historic Norbertine abbey and the Grimbergen abbey beer.
  • D. Bierges
    Bierges is a village in Walloon Brabant, Belgium, that forms part of the municipality of Wavre.
  • E. Delamotte
    Delamotte is a surname of French origin, often appearing in historical and cultural contexts with various spellings such as De La Motte.
  • 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_69c69f2cbe08819088f9eb0c03ef529b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8b35ba481908e1e5bbf329daa33 completed March 27, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84f2f7c448190858510d1511b42a7 completed March 28, 2026, 9:59 p.m.
NEDg Description generation batch_69c8504aadc88190bc97c33fb19a5230 completed March 28, 2026, 10:03 p.m.
NED2 Entity disambiguation (via description) batch_69c8528a8bd081908a281d2827f5587d completed March 28, 2026, 10:13 p.m.
Created at: March 27, 2026, 3:49 p.m.