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.