Triple
T22657312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | De Kempen |
E559261
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Rijkevorsel
Rijkevorsel is a municipality in the Antwerp province of Belgium, located in the historic Kempen (Campine) region.
|
E1549283
|
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: Rijkevorsel | Statement: [De Kempen, hasSettlement, Rijkevorsel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rijkevorsel Context triple: [De Kempen, hasSettlement, Rijkevorsel]
-
A.
Nijnsel
Nijnsel is a village in the Dutch province of North Brabant, located within the municipality of Meierijstad.
-
B.
Vilsteren
Vilsteren is a small rural hamlet in the Dutch province of Overijssel, known for its historic estates and scenic landscape along the river Vecht.
-
C.
Krimpenerwaard
Krimpenerwaard is a rural municipality in the Dutch province of South Holland, known for its polder landscapes, dikes, and traditional villages between the rivers Lek and Hollandse IJssel.
-
D.
Kropswolde
Kropswolde is a village in the Dutch province of Groningen, known for its rural character and proximity to the Zuidlaardermeer lake.
-
E.
Schoondijke
Schoondijke is a village in the Dutch province of Zeeland, known for its rural character and location near the North Sea coast.
- 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: Rijkevorsel Triple: [De Kempen, hasSettlement, Rijkevorsel]
Generated description
Rijkevorsel is a municipality in the Antwerp province of Belgium, located in the historic Kempen (Campine) region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rijkevorsel Target entity description: Rijkevorsel is a municipality in the Antwerp province of Belgium, located in the historic Kempen (Campine) region.
-
A.
Nijnsel
Nijnsel is a village in the Dutch province of North Brabant, located within the municipality of Meierijstad.
-
B.
Vilsteren
Vilsteren is a small rural hamlet in the Dutch province of Overijssel, known for its historic estates and scenic landscape along the river Vecht.
-
C.
Krimpenerwaard
Krimpenerwaard is a rural municipality in the Dutch province of South Holland, known for its polder landscapes, dikes, and traditional villages between the rivers Lek and Hollandse IJssel.
-
D.
Kropswolde
Kropswolde is a village in the Dutch province of Groningen, known for its rural character and proximity to the Zuidlaardermeer lake.
-
E.
Schoondijke
Schoondijke is a village in the Dutch province of Zeeland, known for its rural character and location near the North Sea coast.
- 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_6a0b73e246408190b4cab82e6799f162 |
completed | May 18, 2026, 8:17 p.m. |
| NEDg | Description generation | batch_6a0b77402cf48190999a8e99f69bd480 |
completed | May 18, 2026, 8:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b77c92d6081909abd6f1280dc22f7 |
completed | May 18, 2026, 8:34 p.m. |
Created at: April 17, 2026, 3:06 p.m.