Triple

T15957245
Position Surface form Disambiguated ID Type / Status
Subject Tunisian Ligue Professionnelle 1 E386966 entity
Predicate hasTeam P330 FINISHED
Object JS Kairouan
JS Kairouan is a professional football club from Kairouan, Tunisia, competing in the country’s top-tier league system.
E1185942 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: JS Kairouan | Statement: [Tunisian Ligue Professionnelle 1, hasTeam, JS Kairouan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JS Kairouan
Context triple: [Tunisian Ligue Professionnelle 1, hasTeam, JS Kairouan]
  • A. KISHAIR
    KISHAIR is the radio callsign used by Kish Air, an Iranian airline operating domestic and regional passenger services.
  • B. Khairan
    Khairan was an 11th-century Andalusi leader who became a prominent taifa ruler in southeastern Iberia following the collapse of the Caliphate of Córdoba.
  • C. Kfarkalamoun
    Kfarkalamoun is a village located in the Koura District of the North Governorate of Lebanon, known for its agricultural character and traditional rural setting.
  • D. Kufr Khall
    Kufr Khall is a town in northern Jordan situated within the historically rich and hilly Jarash region.
  • E. Tajio Kaili
    Tajio Kaili is a regional dialect of the Kaili language spoken by communities in Central Sulawesi, Indonesia.
  • 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: JS Kairouan
Triple: [Tunisian Ligue Professionnelle 1, hasTeam, JS Kairouan]
Generated description
JS Kairouan is a professional football club from Kairouan, Tunisia, competing in the country’s top-tier league system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: JS Kairouan
Target entity description: JS Kairouan is a professional football club from Kairouan, Tunisia, competing in the country’s top-tier league system.
  • A. KISHAIR
    KISHAIR is the radio callsign used by Kish Air, an Iranian airline operating domestic and regional passenger services.
  • B. Khairan
    Khairan was an 11th-century Andalusi leader who became a prominent taifa ruler in southeastern Iberia following the collapse of the Caliphate of Córdoba.
  • C. Kfarkalamoun
    Kfarkalamoun is a village located in the Koura District of the North Governorate of Lebanon, known for its agricultural character and traditional rural setting.
  • D. Kufr Khall
    Kufr Khall is a town in northern Jordan situated within the historically rich and hilly Jarash region.
  • E. Tajio Kaili
    Tajio Kaili is a regional dialect of the Kaili language spoken by communities in Central Sulawesi, Indonesia.
  • 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.