Triple

T11189696
Position Surface form Disambiguated ID Type / Status
Subject Coktel Vision E264763 entity
Predicate notableWork P4 FINISHED
Object Adibou
Adibou is a popular French educational video game series for young children that combines playful activities with early learning in subjects like reading, math, and science.
 E910708 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: Adibou | Statement: [Coktel Vision, notableWork, Adibou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Adibou
Context triple: [Coktel Vision, notableWork, Adibou]
  • A. Adama
    Adama is a major Ethiopian city in the Oromia Region, known as an important commercial and transportation hub southeast of Addis Ababa.
  • B. Youssoufia
    Youssoufia is a Moroccan city known for its phosphate mining industry and its location within the Marrakesh-Safi region.
  • C. Bouharoun
    Bouharoun is a coastal town in northern Algeria known for its Mediterranean shoreline and location within Tipaza Province.
  • D. Makouda
    Makouda is a town and commune located in northern Algeria within the Kabylie region.
  • E. Azeffoun
    Azeffoun is a coastal town and commune in northern Algeria, located in the Kabylie region within Tizi Ouzou Province.
  • 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: Adibou
Triple: [Coktel Vision, notableWork, Adibou]
Generated description
Adibou is a popular French educational video game series for young children that combines playful activities with early learning in subjects like reading, math, and science.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Adibou
Target entity description: Adibou is a popular French educational video game series for young children that combines playful activities with early learning in subjects like reading, math, and science.
  • A. Adama
    Adama is a major Ethiopian city in the Oromia Region, known as an important commercial and transportation hub southeast of Addis Ababa.
  • B. Youssoufia
    Youssoufia is a Moroccan city known for its phosphate mining industry and its location within the Marrakesh-Safi region.
  • C. Bouharoun
    Bouharoun is a coastal town in northern Algeria known for its Mediterranean shoreline and location within Tipaza Province.
  • D. Makouda
    Makouda is a town and commune located in northern Algeria within the Kabylie region.
  • E. Azeffoun
    Azeffoun is a coastal town and commune in northern Algeria, located in the Kabylie region within Tizi Ouzou Province.
  • 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_69d6aa9eb9248190b20211772621b4bc completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8af18e4819091811bca657c9cb0 completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e483df3c74819090fc6ef26f785539 completed April 19, 2026, 7:27 a.m.
NEDg Description generation batch_69e48788be688190a109ccb8281d3dc9 completed April 19, 2026, 7:43 a.m.
NED2 Entity disambiguation (via description) batch_69e4890c12388190838d350207492c9e completed April 19, 2026, 7:49 a.m.
Created at: April 8, 2026, 9:29 p.m.