Triple
T11315608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Genk |
E267956
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Kolderbos
Kolderbos is a residential district of the Belgian city of Genk, known for its post-war social housing and multicultural community.
|
E917497
|
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: Kolderbos | Statement: [Genk, contains, Kolderbos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kolderbos Context triple: [Genk, contains, Kolderbos]
-
A.
Boesinghe
Boesinghe is a village in West Flanders, Belgium, known for its proximity to key World War I battlefields along the Yser Front.
-
B.
Kortenaer
Kortenaer is a Dutch surname most notably associated with the 17th-century admiral Egbert Bartholomeusz Kortenaer.
-
C.
Zwanenburg
Zwanenburg is a village in North Holland, Netherlands, situated near Amsterdam and known as a suburban residential community within the Haarlemmermeer municipality.
-
D.
Goudswaard
Goudswaard is a small village in the Dutch province of South Holland, known for its rural character and location on the island of Hoeksche Waard.
-
E.
Huldenberg
Huldenberg is a rural municipality in the Flemish Brabant province of Belgium, known for its hilly landscape, forests, and residential villages near Brussels.
- 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: Kolderbos Triple: [Genk, contains, Kolderbos]
Generated description
Kolderbos is a residential district of the Belgian city of Genk, known for its post-war social housing and multicultural community.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kolderbos Target entity description: Kolderbos is a residential district of the Belgian city of Genk, known for its post-war social housing and multicultural community.
-
A.
Boesinghe
Boesinghe is a village in West Flanders, Belgium, known for its proximity to key World War I battlefields along the Yser Front.
-
B.
Kortenaer
Kortenaer is a Dutch surname most notably associated with the 17th-century admiral Egbert Bartholomeusz Kortenaer.
-
C.
Zwanenburg
Zwanenburg is a village in North Holland, Netherlands, situated near Amsterdam and known as a suburban residential community within the Haarlemmermeer municipality.
-
D.
Goudswaard
Goudswaard is a small village in the Dutch province of South Holland, known for its rural character and location on the island of Hoeksche Waard.
-
E.
Huldenberg
Huldenberg is a rural municipality in the Flemish Brabant province of Belgium, known for its hilly landscape, forests, and residential villages near Brussels.
- 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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9c2c7b081909af8acebc8aa93aa |
completed | April 9, 2026, 6:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e50a9e66588190b71e0f60133a8995 |
completed | April 19, 2026, 5:02 p.m. |
| NEDg | Description generation | batch_69e510fc537c8190bbf11c8fd6e5764b |
completed | April 19, 2026, 5:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e516d0910481908fee176db0d9229b |
completed | April 19, 2026, 5:54 p.m. |
Created at: April 8, 2026, 9:32 p.m.