Triple
T22657317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | De Kempen |
E559261
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Laakdal
Laakdal is a municipality in the Belgian province of Antwerp, situated in the Kempen (Campine) region and known for its rural character and natural landscapes.
|
E1547982
|
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: Laakdal | Statement: [De Kempen, hasSettlement, Laakdal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laakdal Context triple: [De Kempen, hasSettlement, Laakdal]
-
A.
Langerak
Langerak is a small village in the Dutch province of South Holland, known for its rural character and location along the Lek River.
-
B.
Staaken
Staaken is a locality in western Berlin, Germany, known for its residential areas and historical role as part of the Spandau district near the former inner-German border.
-
C.
Beekdaelen
Beekdaelen is a municipality in the Dutch province of Limburg, known for its rural landscape, historic villages, and rolling hills.
-
D.
Remersdaal
Remersdaal is a small village in the municipality of Voeren in the Flemish province of Limburg, Belgium.
-
E.
Kortenaken
Kortenaken is a rural municipality in the Flemish Brabant province of Belgium, known for its agricultural landscape and small village communities.
- 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: Laakdal Triple: [De Kempen, hasSettlement, Laakdal]
Generated description
Laakdal is a municipality in the Belgian province of Antwerp, situated in the Kempen (Campine) region and known for its rural character and natural landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Laakdal Target entity description: Laakdal is a municipality in the Belgian province of Antwerp, situated in the Kempen (Campine) region and known for its rural character and natural landscapes.
-
A.
Langerak
Langerak is a small village in the Dutch province of South Holland, known for its rural character and location along the Lek River.
-
B.
Staaken
Staaken is a locality in western Berlin, Germany, known for its residential areas and historical role as part of the Spandau district near the former inner-German border.
-
C.
Beekdaelen
Beekdaelen is a municipality in the Dutch province of Limburg, known for its rural landscape, historic villages, and rolling hills.
-
D.
Remersdaal
Remersdaal is a small village in the municipality of Voeren in the Flemish province of Limburg, Belgium.
-
E.
Kortenaken
Kortenaken is a rural municipality in the Flemish Brabant province of Belgium, known for its agricultural landscape and small village communities.
- 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_6a0b586cd2b8819095ff984b9c14c1ec |
completed | May 18, 2026, 6:20 p.m. |
| NEDg | Description generation | batch_6a0b6f5f8bd08190b325b9dd91e199e1 |
completed | May 18, 2026, 7:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b7044c94c81909a43b04f40af2a15 |
completed | May 18, 2026, 8:02 p.m. |
Created at: April 17, 2026, 3:06 p.m.