Triple

T16231020
Position Surface form Disambiguated ID Type / Status
Subject Stade Chedly Zouiten E393978 entity
Predicate namedAfter P63 FINISHED
Object Chedly Zouiten
Chedly Zouiten was a prominent Tunisian sports figure and football administrator after whom one of Tunis’s main stadiums is named.
 E1200590 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: Chedly Zouiten | Statement: [Stade Chedly Zouiten, namedAfter, Chedly Zouiten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Chedly Zouiten
Context triple: [Stade Chedly Zouiten, namedAfter, Chedly Zouiten]
  • A. Mohamed Ennaceur
    Mohamed Ennaceur is a Tunisian politician who served as interim President of Tunisia in 2019 following the death of President Beji Caid Essebsi.
  • B. Mohamed Dilmi
    Mohamed Dilmi is a French local politician who serves as the mayor of the commune of Valleiry in southeastern France.
  • C. Ahmed Boumendjel
    Ahmed Boumendjel was an Algerian nationalist leader, lawyer, and politician who played a key role in the political negotiations that led to Algeria’s independence from France.
  • D. Achraf Jannusi
    Achraf Jannusi is a songwriter best known for his work on the track "I Like It."
  • E. Hamadi Jebali
    Hamadi Jebali is a Tunisian politician and former prime minister who played a key role in the country’s post-Arab Spring transitional government.
  • 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: Chedly Zouiten
Triple: [Stade Chedly Zouiten, namedAfter, Chedly Zouiten]
Generated description
Chedly Zouiten was a prominent Tunisian sports figure and football administrator after whom one of Tunis’s main stadiums is named.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Chedly Zouiten
Target entity description: Chedly Zouiten was a prominent Tunisian sports figure and football administrator after whom one of Tunis’s main stadiums is named.
  • A. Mohamed Ennaceur
    Mohamed Ennaceur is a Tunisian politician who served as interim President of Tunisia in 2019 following the death of President Beji Caid Essebsi.
  • B. Mohamed Dilmi
    Mohamed Dilmi is a French local politician who serves as the mayor of the commune of Valleiry in southeastern France.
  • C. Ahmed Boumendjel
    Ahmed Boumendjel was an Algerian nationalist leader, lawyer, and politician who played a key role in the political negotiations that led to Algeria’s independence from France.
  • D. Achraf Jannusi
    Achraf Jannusi is a songwriter best known for his work on the track "I Like It."
  • E. Hamadi Jebali
    Hamadi Jebali is a Tunisian politician and former prime minister who played a key role in the country’s post-Arab Spring transitional government.
  • 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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e23d29fa248190943f4c3f7808908b completed April 17, 2026, 2:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0007a0ab08819082aea4c312c9ffc7 completed May 10, 2026, 4:20 a.m.
NEDg Description generation batch_6a00098ea3e48190b0744f1eafab9ce2 completed May 10, 2026, 4:29 a.m.
NED2 Entity disambiguation (via description) batch_6a0009fb40a48190b82f6de80226d306 completed May 10, 2026, 4:30 a.m.
Created at: April 10, 2026, 5:03 a.m.