Triple

T11348773
Position Surface form Disambiguated ID Type / Status
Subject AS Vita Club E268787 entity
Predicate league P888 FINISHED
Object Linafoot
Linafoot is the top professional football league in the Democratic Republic of the Congo, featuring the country’s leading clubs in national competition.
E920207 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: Linafoot | Statement: [AS Vita Club, league, Linafoot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Linafoot
Context triple: [AS Vita Club, league, Linafoot]
  • A. Lina
    Lina is a Native American servant in Toni Morrison’s novel *A Mercy*, whose history of displacement and resilience reflects the novel’s themes of slavery, colonialism, and survival in 17th-century America.
  • B. Lina
    Lina Heydrich was the wife of high-ranking Nazi official Reinhard Heydrich and a committed supporter of National Socialism in Germany.
  • C. Lina
    Lina is a feminine given name used in various cultures, often as a short form of names like Angelina, Karolina, or Alina.
  • D. Lina
    Lina is a female lion character who serves as one of the official mascots for the Japanese professional baseball team Saitama Seibu Lions.
  • E. Gassel
    Gassel is a village in the Dutch province of North Brabant, known historically as a separate municipality before being incorporated into a larger administrative unit.
  • 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: Linafoot
Triple: [AS Vita Club, league, Linafoot]
Generated description
Linafoot is the top professional football league in the Democratic Republic of the Congo, featuring the country’s leading clubs in national competition.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Linafoot
Target entity description: Linafoot is the top professional football league in the Democratic Republic of the Congo, featuring the country’s leading clubs in national competition.
  • A. Lina
    Lina is a Native American servant in Toni Morrison’s novel *A Mercy*, whose history of displacement and resilience reflects the novel’s themes of slavery, colonialism, and survival in 17th-century America.
  • B. Lina
    Lina Heydrich was the wife of high-ranking Nazi official Reinhard Heydrich and a committed supporter of National Socialism in Germany.
  • C. Lina
    Lina is a female lion character who serves as one of the official mascots for the Japanese professional baseball team Saitama Seibu Lions.
  • D. Lina
    Lina is a feminine given name used in various cultures, often as a short form of names like Angelina, Karolina, or Alina.
  • E. Gassel
    Gassel is a village in the Dutch province of North Brabant, known historically as a separate municipality before being incorporated into a larger administrative unit.
  • 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_69d6aacbe18081909e5fadb50082dd96 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea23391c819089e8f9725cb3a0ff completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5438d7b58819093cc1407fefe8ab5 completed April 19, 2026, 9:05 p.m.
NEDg Description generation batch_69e548bb7be4819093aeeaf0c048033e completed April 19, 2026, 9:27 p.m.
NED2 Entity disambiguation (via description) batch_69e54eeba4a88190af128a99c277853a completed April 19, 2026, 9:53 p.m.
Created at: April 8, 2026, 9:33 p.m.