Triple
T22657301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | De Kempen |
E559261
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Kasterlee
Kasterlee is a municipality in the Belgian province of Antwerp, known for its rural character, forests, and recreational tourism.
|
E1559278
|
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: Kasterlee | Statement: [De Kempen, hasSettlement, Kasterlee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kasterlee Context triple: [De Kempen, hasSettlement, Kasterlee]
-
A.
Loenhout
Loenhout is a village and former municipality in the Antwerp province of Belgium, now functioning as a district of the city of Hoogstraten.
-
B.
Kruibeke
Kruibeke is a municipality in the Belgian province of East Flanders, known for its rural character and location along the Scheldt River.
-
C.
Lembeek
Lembeek is a village in the Belgian municipality of Halle, located along the Senne River in the province of Flemish Brabant.
-
D.
Liedekerke
Liedekerke is a municipality in the Flemish Brabant province of Belgium, situated in the Dutch-speaking region of Flanders.
-
E.
Kanegem
Kanegem is a small village in West Flanders, Belgium, known for its historic church and rural character.
- 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: Kasterlee Triple: [De Kempen, hasSettlement, Kasterlee]
Generated description
Kasterlee is a municipality in the Belgian province of Antwerp, known for its rural character, forests, and recreational tourism.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kasterlee Target entity description: Kasterlee is a municipality in the Belgian province of Antwerp, known for its rural character, forests, and recreational tourism.
-
A.
Loenhout
Loenhout is a village and former municipality in the Antwerp province of Belgium, now functioning as a district of the city of Hoogstraten.
-
B.
Kruibeke
Kruibeke is a municipality in the Belgian province of East Flanders, known for its rural character and location along the Scheldt River.
-
C.
Lembeek
Lembeek is a village in the Belgian municipality of Halle, located along the Senne River in the province of Flemish Brabant.
-
D.
Liedekerke
Liedekerke is a municipality in the Flemish Brabant province of Belgium, situated in the Dutch-speaking region of Flanders.
-
E.
Kanegem
Kanegem is a small village in West Flanders, Belgium, known for its historic church and rural character.
- 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_69e245489dd88190b1f674acf61c8769 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1765c62bc8190b3fcde76d6b6dfb6 |
completed | April 29, 2026, 3:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bae7562188190b7b9a73ea7838add |
completed | May 19, 2026, 12:27 a.m. |
| NEDg | Description generation | batch_6a0bb157ba248190ade482c61a701095 |
completed | May 19, 2026, 12:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bb1a83000819090e532e418cde2f0 |
completed | May 19, 2026, 12:41 a.m. |
Created at: April 17, 2026, 3:06 p.m.