Triple

T10321134
Position Surface form Disambiguated ID Type / Status
Subject Renaissance Sportive de Berkane E242139 entity
Predicate shortName P43 FINISHED
Object RSB
RSB is a Moroccan professional football club based in Berkane, known for its strong performances in domestic and African competitions.
 E855256 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: RSB | Statement: [Renaissance Sportive de Berkane, shortName, RSB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RSB
Context triple: [Renaissance Sportive de Berkane, shortName, RSB]
  • A. RSJ
    RSJ is a professional society in Japan dedicated to advancing research, development, and dissemination of knowledge in the field of robotics.
  • B. RS
    RS is the official vehicle registration code for the Brazilian state of Rio Grande do Sul.
  • C. RS
    RS is a sporty, performance-oriented trim level of the Chevrolet Trailblazer that features distinctive styling and upgraded features.
  • D. RS
    RS is the two-letter ISO 3166-1 alpha-2 country code for Serbia.
  • E. RS
    RS is the commonly used abbreviation for Republika Srpska, one of the two constitutional and legal entities of Bosnia and Herzegovina.
  • 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: RSB
Triple: [Renaissance Sportive de Berkane, shortName, RSB]
Generated description
RSB is a Moroccan professional football club based in Berkane, known for its strong performances in domestic and African competitions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RSB
Target entity description: RSB is a Moroccan professional football club based in Berkane, known for its strong performances in domestic and African competitions.
  • A. RSJ
    RSJ is a professional society in Japan dedicated to advancing research, development, and dissemination of knowledge in the field of robotics.
  • B. RS
    RS is the official vehicle registration code for the Brazilian state of Rio Grande do Sul.
  • C. RS
    RS is a sporty, performance-oriented trim level of the Chevrolet Trailblazer that features distinctive styling and upgraded features.
  • D. RS
    RS is the two-letter ISO 3166-1 alpha-2 country code for Serbia.
  • E. RS
    RS is the commonly used abbreviation for Republika Srpska, one of the two constitutional and legal entities of Bosnia and Herzegovina.
  • 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_69d381ac38808190a8ca7457c85b625b completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d6cbbb548190b757ec5a02d60e5c completed April 7, 2026, 10:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71d9b2ad881909f3076f8f9d1b1d3 completed April 9, 2026, 3:31 a.m.
NEDg Description generation batch_69d7318755b881908e9ea4f1dfcf7da2 completed April 9, 2026, 4:56 a.m.
NED2 Entity disambiguation (via description) batch_69d73285e0688190a98708477527bbee completed April 9, 2026, 5 a.m.
Created at: April 6, 2026, 11:50 a.m.