Triple
T5952508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Westerveld |
E132431
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Havelte
Havelte is a village in the Dutch province of Drenthe, known for its nearby prehistoric dolmens and scenic natural surroundings.
|
E557929
|
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: Havelte | Statement: [Westerveld, contains, Havelte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Havelte Context triple: [Westerveld, contains, Havelte]
-
A.
Vechta
Vechta is a town in Lower Saxony, Germany, known for its historical significance, university, and annual Stoppelmarkt fair.
-
B.
Salland
Salland is a historical and rural region in the Dutch province of Overijssel, known for its scenic landscapes, small towns, and agricultural character.
-
C.
Paterswolde
Paterswolde is a village in the Dutch province of Drenthe, known for its proximity to the Paterswoldsemeer lake and its suburban character near the city of Groningen.
-
D.
Jever
Jever is a historic town in Lower Saxony, Germany, best known for its traditional North German architecture and the Jever Pilsener brewery.
-
E.
Rheine
Rheine is a German city in the state of North Rhine-Westphalia, known for its historical town center and location along the River Ems.
- 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: Havelte Triple: [Westerveld, contains, Havelte]
Generated description
Havelte is a village in the Dutch province of Drenthe, known for its nearby prehistoric dolmens and scenic natural surroundings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Havelte Target entity description: Havelte is a village in the Dutch province of Drenthe, known for its nearby prehistoric dolmens and scenic natural surroundings.
-
A.
Vechta
Vechta is a town in Lower Saxony, Germany, known for its historical significance, university, and annual Stoppelmarkt fair.
-
B.
Salland
Salland is a historical and rural region in the Dutch province of Overijssel, known for its scenic landscapes, small towns, and agricultural character.
-
C.
Paterswolde
Paterswolde is a village in the Dutch province of Drenthe, known for its proximity to the Paterswoldsemeer lake and its suburban character near the city of Groningen.
-
D.
Jever
Jever is a historic town in Lower Saxony, Germany, best known for its traditional North German architecture and the Jever Pilsener brewery.
-
E.
Rheine
Rheine is a German city in the state of North Rhine-Westphalia, known for its historical town center and location along the River Ems.
- 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.