Triple

T6729429
Position Surface form Disambiguated ID Type / Status
Subject N’Golo Kanté E153596 entity
Predicate playedFor P2170 FINISHED
Object Boulogne
Boulogne is a French football club known for being one of the early professional teams in N’Golo Kanté’s career.
 E615627 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: Boulogne | Statement: [N’Golo Kanté, playedFor, Boulogne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Boulogne
Context triple: [N’Golo Kanté, playedFor, Boulogne]
  • A. Boulogne-sur-Mer
    Boulogne-sur-Mer is a coastal city and major fishing port in northern France, located on the English Channel in the Pas-de-Calais department.
  • B. Boulogne-sur-Seine
    Boulogne-sur-Seine was a former commune in the western suburbs of Paris, France, now part of Boulogne-Billancourt, known historically as a residential and industrial area along the Seine River.
  • C. Pont-l’Évêque
    Pont-l’Évêque is a small historic town in Normandy, France, best known for giving its name to the traditional soft cow’s milk cheese Pont-l’Évêque.
  • D. Cherbourg
    Cherbourg is a major French port city on the Cotentin Peninsula, known for its strategic naval harbor and cross-Channel ferry connections.
  • E. Montreuil-sur-Mer
    Montreuil-sur-Mer is a small historic town in northern France, notably serving as a key setting in Victor Hugo’s novel "Les Misérables."
  • 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: Boulogne
Triple: [N’Golo Kanté, playedFor, Boulogne]
Generated description
Boulogne is a French football club known for being one of the early professional teams in N’Golo Kanté’s career.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Boulogne
Target entity description: Boulogne is a French football club known for being one of the early professional teams in N’Golo Kanté’s career.
  • A. Boulogne-sur-Mer
    Boulogne-sur-Mer is a coastal city and major fishing port in northern France, located on the English Channel in the Pas-de-Calais department.
  • B. Boulogne-sur-Seine
    Boulogne-sur-Seine was a former commune in the western suburbs of Paris, France, now part of Boulogne-Billancourt, known historically as a residential and industrial area along the Seine River.
  • C. Pont-l’Évêque
    Pont-l’Évêque is a small historic town in Normandy, France, best known for giving its name to the traditional soft cow’s milk cheese Pont-l’Évêque.
  • D. Cherbourg
    Cherbourg is a major French port city on the Cotentin Peninsula, known for its strategic naval harbor and cross-Channel ferry connections.
  • E. Montreuil-sur-Mer
    Montreuil-sur-Mer is a small historic town in northern France, notably serving as a key setting in Victor Hugo’s novel "Les Misérables."
  • 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_69c6880bdd68819097de8b6099992682 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d15591c8819082620d194eba3e9d completed March 27, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70b00ba9c8190aaae2220972ff4f2 completed March 27, 2026, 10:56 p.m.
NEDg Description generation batch_69c70c5fc9c88190ba499b0a9e7bcbc2 completed March 27, 2026, 11:01 p.m.
NED2 Entity disambiguation (via description) batch_69c70d0fcbc08190b3a7d0de3c634a5f completed March 27, 2026, 11:04 p.m.
Created at: March 27, 2026, 2:08 p.m.