Triple
T20641170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Roeulx |
E507226
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Gottignies
Gottignies is a village in the municipality of Le Roeulx in the province of Hainaut, Belgium.
|
E1450599
|
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: Gottignies | Statement: [Le Roeulx, hasSubdivision, Gottignies]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gottignies Context triple: [Le Roeulx, hasSubdivision, Gottignies]
-
A.
Ottignies
Ottignies is a town in central Belgium, in Walloon Brabant, known as a regional transport hub on the rail route between Brussels and Namur.
-
B.
Gosselies
Gosselies is a district of the city of Charleroi in Wallonia, Belgium, known for its proximity to Brussels South Charleroi Airport and its industrial and aeronautical activities.
-
C.
Nivelles
Nivelles is a historic town in present-day Belgium known for its medieval architecture, including the Romanesque Collegiate Church of Saint Gertrude.
-
D.
Binche
Binche is a historic town in the Walloon region of Belgium, renowned for its well-preserved medieval architecture and its UNESCO-recognized Carnival of Binche.
-
E.
Durbuy
Durbuy is a small, picturesque town in the Belgian Ardennes often promoted as one of the “smallest cities in the world,” known for its medieval architecture and tourism.
- 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: Gottignies Triple: [Le Roeulx, hasSubdivision, Gottignies]
Generated description
Gottignies is a village in the municipality of Le Roeulx in the province of Hainaut, Belgium.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gottignies Target entity description: Gottignies is a village in the municipality of Le Roeulx in the province of Hainaut, Belgium.
-
A.
Ottignies
Ottignies is a town in central Belgium, in Walloon Brabant, known as a regional transport hub on the rail route between Brussels and Namur.
-
B.
Gosselies
Gosselies is a district of the city of Charleroi in Wallonia, Belgium, known for its proximity to Brussels South Charleroi Airport and its industrial and aeronautical activities.
-
C.
Nivelles
Nivelles is a historic town in present-day Belgium known for its medieval architecture, including the Romanesque Collegiate Church of Saint Gertrude.
-
D.
Binche
Binche is a historic town in the Walloon region of Belgium, renowned for its well-preserved medieval architecture and its UNESCO-recognized Carnival of Binche.
-
E.
Durbuy
Durbuy is a small, picturesque town in the Belgian Ardennes often promoted as one of the “smallest cities in the world,” known for its medieval architecture and tourism.
- 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_69e0b4be702c8190a3d2410a881d310a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6ad132ebc8190b557914cf31a9033 |
completed | April 20, 2026, 10:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08f8a685648190b39df6bbd4739b0b |
completed | May 16, 2026, 11:07 p.m. |
| NEDg | Description generation | batch_6a08f97974308190af0d39a3a2d6853a |
completed | May 16, 2026, 11:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08f9e50c6481908be5a61dab994012 |
completed | May 16, 2026, 11:12 p.m. |
Created at: April 16, 2026, 11:43 a.m.