Triple
T5952526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Westerveld |
E132431
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Oude Willem
Oude Willem is a small rural hamlet in the Dutch province of Drenthe, known for its surrounding heathlands and proximity to the Drents-Friese Wold National Park.
|
E557945
|
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: Oude Willem | Statement: [Westerveld, contains, Oude Willem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oude Willem Context triple: [Westerveld, contains, Oude Willem]
-
A.
Willem
Willem is a given name, primarily used in Dutch-speaking regions, that corresponds to the English name William.
-
B.
Theo Heemskerk
Theo Heemskerk was a Dutch politician who served as Prime Minister of the Netherlands in the early 20th century.
-
C.
Sibrandus Lubbertus
Sibrandus Lubbertus was a prominent Dutch Reformed theologian of the late 16th and early 17th centuries, known for his staunch defense of Calvinist orthodoxy.
-
D.
Willem Delff
Willem Delff was a Dutch Golden Age engraver and painter from Delft, known for his detailed reproductive engravings after prominent artists of his time.
-
E.
Willem de Vlugt
Willem de Vlugt was a Dutch politician who served as the mayor of Amsterdam during the late 1920s and early 1930s.
- 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: Oude Willem Triple: [Westerveld, contains, Oude Willem]
Generated description
Oude Willem is a small rural hamlet in the Dutch province of Drenthe, known for its surrounding heathlands and proximity to the Drents-Friese Wold National Park.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oude Willem Target entity description: Oude Willem is a small rural hamlet in the Dutch province of Drenthe, known for its surrounding heathlands and proximity to the Drents-Friese Wold National Park.
-
A.
Willem
Willem is a given name, primarily used in Dutch-speaking regions, that corresponds to the English name William.
-
B.
Theo Heemskerk
Theo Heemskerk was a Dutch politician who served as Prime Minister of the Netherlands in the early 20th century.
-
C.
Sibrandus Lubbertus
Sibrandus Lubbertus was a prominent Dutch Reformed theologian of the late 16th and early 17th centuries, known for his staunch defense of Calvinist orthodoxy.
-
D.
Willem Delff
Willem Delff was a Dutch Golden Age engraver and painter from Delft, known for his detailed reproductive engravings after prominent artists of his time.
-
E.
Willem de Vlugt
Willem de Vlugt was a Dutch politician who served as the mayor of Amsterdam during the late 1920s and early 1930s.
- 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.