Triple
T16219301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dilbeek |
E393676
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Sint-Martens-Bodegem
Sint-Martens-Bodegem is a village in the Flemish Brabant province of Belgium, forming part of the municipality of Dilbeek near Brussels.
|
E1242739
|
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: Sint-Martens-Bodegem | Statement: [Dilbeek, contains, Sint-Martens-Bodegem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sint-Martens-Bodegem Context triple: [Dilbeek, contains, Sint-Martens-Bodegem]
-
A.
Wommelgem
Wommelgem is a municipality in the Belgian province of Antwerp, known for its suburban character and proximity to the city of Antwerp.
-
B.
Harelbeke
Harelbeke is a municipality in the Belgian province of West Flanders, known for its historic town center and as a regular host of the E3 Saxo Bank Classic cycling race.
-
C.
Ledegem
Ledegem is a municipality in the Belgian province of West Flanders.
-
D.
Izegem
Izegem is a town in the Belgian province of West Flanders, known historically for its shoe and brush industries.
-
E.
Geraardsbergen
Geraardsbergen is a historic city in East Flanders, Belgium, known for its steep Muur van Geraardsbergen climb and traditional mattentaart pastries.
- 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: Sint-Martens-Bodegem Triple: [Dilbeek, contains, Sint-Martens-Bodegem]
Generated description
Sint-Martens-Bodegem is a village in the Flemish Brabant province of Belgium, forming part of the municipality of Dilbeek near Brussels.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sint-Martens-Bodegem Target entity description: Sint-Martens-Bodegem is a village in the Flemish Brabant province of Belgium, forming part of the municipality of Dilbeek near Brussels.
-
A.
Wommelgem
Wommelgem is a municipality in the Belgian province of Antwerp, known for its suburban character and proximity to the city of Antwerp.
-
B.
Harelbeke
Harelbeke is a municipality in the Belgian province of West Flanders, known for its historic town center and as a regular host of the E3 Saxo Bank Classic cycling race.
-
C.
Ledegem
Ledegem is a municipality in the Belgian province of West Flanders.
-
D.
Izegem
Izegem is a town in the Belgian province of West Flanders, known historically for its shoe and brush industries.
-
E.
Geraardsbergen
Geraardsbergen is a historic city in East Flanders, Belgium, known for its steep Muur van Geraardsbergen climb and traditional mattentaart pastries.
- 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_69d87f204df88190a8f88923decf9835 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e227f95de081908e1abe32d281dbe7 |
completed | April 17, 2026, 12:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00d447f5cc81908757869f2d1e94a1 |
completed | May 10, 2026, 6:54 p.m. |
| NEDg | Description generation | batch_6a00d55f665c8190bd9a4bf594d0bac4 |
completed | May 10, 2026, 6:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00d5c38a1081909e13c016f21899d2 |
completed | May 10, 2026, 7 p.m. |
Created at: April 10, 2026, 5:03 a.m.