Triple

T19549673
Position Surface form Disambiguated ID Type / Status
Subject Doudou of Mons E489163 entity
Predicate hasPart P35 FINISHED
Object Lumeçon
Lumeçon is a traditional dragon-slaying combat reenactment and popular folk spectacle performed during the Doudou festival in Mons, Belgium.
E1383509 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: Lumeçon | Statement: [Doudou of Mons, hasPart, Lumeçon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lumeçon
Context triple: [Doudou of Mons, hasPart, Lumeçon]
  • A. Lalumière
    Lalumière is a French surname most notably borne by Catherine Lalumière, a prominent French politician and former European Parliament member.
  • B. Miradoux
    Miradoux is a small commune in the Gers department of southwestern France, known for its rural charm and traditional Gascon countryside.
  • C. Louletanos
    Louletanos are the inhabitants or natives of Loulé, a town in the Algarve region of southern Portugal.
  • D. Lauzerte
    Lauzerte is a medieval hilltop village in southern France known for its well-preserved historic center and picturesque views over the surrounding countryside.
  • E. Lacotte
    Lacotte is a French surname most notably associated with Pierre Lacotte, a renowned ballet dancer, choreographer, and director known for reviving 19th-century ballets.
  • 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: Lumeçon
Triple: [Doudou of Mons, hasPart, Lumeçon]
Generated description
Lumeçon is a traditional dragon-slaying combat reenactment and popular folk spectacle performed during the Doudou festival in Mons, Belgium.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lumeçon
Target entity description: Lumeçon is a traditional dragon-slaying combat reenactment and popular folk spectacle performed during the Doudou festival in Mons, Belgium.
  • A. Lalumière
    Lalumière is a French surname most notably borne by Catherine Lalumière, a prominent French politician and former European Parliament member.
  • B. Miradoux
    Miradoux is a small commune in the Gers department of southwestern France, known for its rural charm and traditional Gascon countryside.
  • C. Louletanos
    Louletanos are the inhabitants or natives of Loulé, a town in the Algarve region of southern Portugal.
  • D. Lauzerte
    Lauzerte is a medieval hilltop village in southern France known for its well-preserved historic center and picturesque views over the surrounding countryside.
  • E. Lacotte
    Lacotte is a French surname most notably associated with Pierre Lacotte, a renowned ballet dancer, choreographer, and director known for reviving 19th-century ballets.
  • 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63d2f39188190976e8b6b111499a0 completed April 20, 2026, 2:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07577a33e08190865ce6f96070ea4f completed May 15, 2026, 5:27 p.m.
NEDg Description generation batch_6a075865eaac819085b35d165fda91d4 completed May 15, 2026, 5:31 p.m.
NED2 Entity disambiguation (via description) batch_6a07590b84488190a33889335ba95c95 completed May 15, 2026, 5:34 p.m.
Created at: April 10, 2026, 1:41 p.m.