Triple
T18322592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lessines |
E438919
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Bois-de-Lessines
Bois-de-Lessines is a village in the municipality of Lessines in the Hainaut province of Wallonia, Belgium.
|
E1319723
|
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: Bois-de-Lessines | Statement: [Lessines, contains, Bois-de-Lessines]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bois-de-Lessines Context triple: [Lessines, contains, Bois-de-Lessines]
-
A.
Braine-l'Alleud
Braine-l'Alleud is a municipality in Walloon Brabant, Belgium, known for encompassing much of the historic Waterloo battlefield.
-
B.
Mont-Saint-Guibert
Mont-Saint-Guibert is a municipality in the province of Walloon Brabant in the French-speaking Walloon region of Belgium.
-
C.
Tervuren
Tervuren is a municipality in Flemish Brabant, Belgium, known for its historic park, royal connections, and the Royal Museum for Central Africa.
-
D.
Laeken
Laeken is a residential district in the north of Brussels, Belgium, known for its royal palace, extensive parks, and role as the traditional home of the Belgian monarchy.
-
E.
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.
- 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: Bois-de-Lessines Triple: [Lessines, contains, Bois-de-Lessines]
Generated description
Bois-de-Lessines is a village in the municipality of Lessines in the Hainaut province of Wallonia, Belgium.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bois-de-Lessines Target entity description: Bois-de-Lessines is a village in the municipality of Lessines in the Hainaut province of Wallonia, Belgium.
-
A.
Braine-l'Alleud
Braine-l'Alleud is a municipality in Walloon Brabant, Belgium, known for encompassing much of the historic Waterloo battlefield.
-
B.
Mont-Saint-Guibert
Mont-Saint-Guibert is a municipality in the province of Walloon Brabant in the French-speaking Walloon region of Belgium.
-
C.
Tervuren
Tervuren is a municipality in Flemish Brabant, Belgium, known for its historic park, royal connections, and the Royal Museum for Central Africa.
-
D.
Laeken
Laeken is a residential district in the north of Brussels, Belgium, known for its royal palace, extensive parks, and role as the traditional home of the Belgian monarchy.
-
E.
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.
- 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_69d8b916a2d081909e249e4902f6aad9 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50aa886508190902ffc26b30731ae |
completed | April 19, 2026, 5:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03cc1be4a88190af681fc9e1ff77ab |
completed | May 13, 2026, 12:55 a.m. |
| NEDg | Description generation | batch_6a03cdd658308190ba74f9cbda741f5a |
completed | May 13, 2026, 1:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03cedef9308190ae9c89ddc5913818 |
completed | May 13, 2026, 1:07 a.m. |
Created at: April 10, 2026, 10:36 a.m.