Triple
T5952510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Westerveld |
E132431
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Dwingeloo
Dwingeloo is a village in the Dutch province of Drenthe, known for its historic green, traditional Saxon farmhouses, and proximity to the Dwingelderveld National Park.
|
E557931
|
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: Dwingeloo | Statement: [Westerveld, contains, Dwingeloo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dwingeloo Context triple: [Westerveld, contains, Dwingeloo]
-
A.
Hoogstraten
Hoogstraten is a historic town and municipality in northern Belgium known for its distinctive church tower and agricultural production, particularly strawberries.
-
B.
Zwartewaal
Zwartewaal is a small village in the western Netherlands, located in the province of South Holland.
-
C.
Aalten
Aalten is a municipality and town in the province of Gelderland in the eastern Netherlands, near the German border.
-
D.
Dinteloord
Dinteloord is a village in the Dutch province of North Brabant, known for its agricultural surroundings and sugar beet processing industry.
-
E.
Alblasserdam
Alblasserdam is a town and municipality in the western Netherlands, situated along the Noord River and known for its proximity to the Kinderdijk windmills.
- 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: Dwingeloo Triple: [Westerveld, contains, Dwingeloo]
Generated description
Dwingeloo is a village in the Dutch province of Drenthe, known for its historic green, traditional Saxon farmhouses, and proximity to the Dwingelderveld National Park.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dwingeloo Target entity description: Dwingeloo is a village in the Dutch province of Drenthe, known for its historic green, traditional Saxon farmhouses, and proximity to the Dwingelderveld National Park.
-
A.
Hoogstraten
Hoogstraten is a historic town and municipality in northern Belgium known for its distinctive church tower and agricultural production, particularly strawberries.
-
B.
Zwartewaal
Zwartewaal is a small village in the western Netherlands, located in the province of South Holland.
-
C.
Aalten
Aalten is a municipality and town in the province of Gelderland in the eastern Netherlands, near the German border.
-
D.
Dinteloord
Dinteloord is a village in the Dutch province of North Brabant, known for its agricultural surroundings and sugar beet processing industry.
-
E.
Alblasserdam
Alblasserdam is a town and municipality in the western Netherlands, situated along the Noord River and known for its proximity to the Kinderdijk windmills.
- 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_69c0086b05cc8190a8f36a96927a525c |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c03983b8848190afaa37f35c95bad6 |
completed | March 22, 2026, 6:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e3d1801c819093dc43dc5a525796 |
completed | March 23, 2026, 6:55 a.m. |
| NEDg | Description generation | batch_69c0e781af588190a8f5572a03b24822 |
completed | March 23, 2026, 7:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0e7f767f8819086026b95c4534733 |
completed | March 23, 2026, 7:12 a.m. |
Created at: March 22, 2026, 4:02 p.m.