Triple

T16293296
Position Surface form Disambiguated ID Type / Status
Subject SM Caen E395579 entity
Predicate hasSupporters P3508 FINISHED
Object Malherbe Normandy Kop
Malherbe Normandy Kop is the main ultras supporters group of French football club SM Caen, known for its passionate atmosphere and choreographed displays.
 E1206078 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: Malherbe Normandy Kop | Statement: [SM Caen, hasSupporters, Malherbe Normandy Kop]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Malherbe Normandy Kop
Context triple: [SM Caen, hasSupporters, Malherbe Normandy Kop]
  • A. Prêles
    Prêles is a village in the canton of Bern, Switzerland, situated on a plateau above Lake Biel and known as the upper terminus of the Ligerz–Prêles funicular railway.
  • B. Verger
    Verger is a surname most notably associated with Mason Verger, a wealthy and sadistic antagonist in Thomas Harris’s Hannibal Lecter series.
  • C. Roublot
    Roublot is a rare French white wine grape variety, historically cultivated in limited regions and valued mainly for blending.
  • D. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • E. Le Brusquet
    Le Brusquet is a small commune in southeastern France situated in the Alpes-de-Haute-Provence department.
  • 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: Malherbe Normandy Kop
Triple: [SM Caen, hasSupporters, Malherbe Normandy Kop]
Generated description
Malherbe Normandy Kop is the main ultras supporters group of French football club SM Caen, known for its passionate atmosphere and choreographed displays.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Malherbe Normandy Kop
Target entity description: Malherbe Normandy Kop is the main ultras supporters group of French football club SM Caen, known for its passionate atmosphere and choreographed displays.
  • A. Prêles
    Prêles is a village in the canton of Bern, Switzerland, situated on a plateau above Lake Biel and known as the upper terminus of the Ligerz–Prêles funicular railway.
  • B. Verger
    Verger is a surname most notably associated with Mason Verger, a wealthy and sadistic antagonist in Thomas Harris’s Hannibal Lecter series.
  • C. Roublot
    Roublot is a rare French white wine grape variety, historically cultivated in limited regions and valued mainly for blending.
  • D. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • E. Le Brusquet
    Le Brusquet is a small commune in southeastern France situated in the Alpes-de-Haute-Provence department.
  • 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_69d87f22c7248190a54c949738441e2e completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e25e2aee6881909fd28547f135427c completed April 17, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001f9965b8819080278ccef15288aa completed May 10, 2026, 6:03 a.m.
NEDg Description generation batch_6a0021459c4081908e4c1d2e0bc8a5be completed May 10, 2026, 6:10 a.m.
NED2 Entity disambiguation (via description) batch_6a002221fe7c819083c8ede5e63b0908 completed May 10, 2026, 6:13 a.m.
Created at: April 10, 2026, 5:05 a.m.