Triple

T15957241
Position Surface form Disambiguated ID Type / Status
Subject Tunisian Ligue Professionnelle 1 E386966 entity
Predicate hasTeam P330 FINISHED
Object CA Bizertin
CA Bizertin is a Tunisian professional football club based in Bizerte that competes in the country’s top-tier league.
 E1185939 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: CA Bizertin | Statement: [Tunisian Ligue Professionnelle 1, hasTeam, CA Bizertin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CA Bizertin
Context triple: [Tunisian Ligue Professionnelle 1, hasTeam, CA Bizertin]
  • A. باي تونس
    باي تونس هو اللقب الذي حمله حكّام الإيالة التونسية من الأسرة الحسينية خلال العهد العثماني وما بعده حتى قيام الجمهورية.
  • B. بعبدا
    بعبدا هي بلدة لبنانية تقع في قضاء بعبدا بمحافظة جبل لبنان وتشتهر بكونها مقر القصر الجمهوري اللبناني.
  • C. Bizerte port
    Bizerte port is a major Tunisian Mediterranean seaport known for its strategic location, commercial shipping activities, and naval facilities.
  • D. Boucha
    Boucha is the surname of Henry Boucha, a notable American ice hockey player of Ojibwe heritage.
  • E. Bassel
    Bassel is an Arabic masculine given name commonly used in the Levant and other Arabic-speaking regions.
  • 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: CA Bizertin
Triple: [Tunisian Ligue Professionnelle 1, hasTeam, CA Bizertin]
Generated description
CA Bizertin is a Tunisian professional football club based in Bizerte that competes in the country’s top-tier league.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CA Bizertin
Target entity description: CA Bizertin is a Tunisian professional football club based in Bizerte that competes in the country’s top-tier league.
  • A. باي تونس
    باي تونس هو اللقب الذي حمله حكّام الإيالة التونسية من الأسرة الحسينية خلال العهد العثماني وما بعده حتى قيام الجمهورية.
  • B. بعبدا
    بعبدا هي بلدة لبنانية تقع في قضاء بعبدا بمحافظة جبل لبنان وتشتهر بكونها مقر القصر الجمهوري اللبناني.
  • C. Bizerte port
    Bizerte port is a major Tunisian Mediterranean seaport known for its strategic location, commercial shipping activities, and naval facilities.
  • D. Boucha
    Boucha is the surname of Henry Boucha, a notable American ice hockey player of Ojibwe heritage.
  • E. Bassel
    Bassel is an Arabic masculine given name commonly used in the Levant and other Arabic-speaking regions.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156fc6f348190b49c4858281a0904 completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe7e76d481909e6f1d1ea33edd60 completed May 9, 2026, 11:08 p.m.
NEDg Description generation batch_69ffbf3e80b08190899262a9d03c0e93 completed May 9, 2026, 11:11 p.m.
NED2 Entity disambiguation (via description) batch_69ffbfc0d1548190b7d2e9e10e837f0b completed May 9, 2026, 11:14 p.m.
Created at: April 10, 2026, 4:53 a.m.