Triple
T5952514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Westerveld |
E132431
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Wapserveen
Wapserveen is a small village in the Dutch province of Drenthe, known for its rural character and surrounding natural landscapes.
|
E557935
|
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: Wapserveen | Statement: [Westerveld, contains, Wapserveen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wapserveen Context triple: [Westerveld, contains, Wapserveen]
-
A.
WAP
"WAP" is a 2020 hip hop single by Cardi B featuring Megan Thee Stallion, widely known for its explicit lyrics, viral popularity, and cultural impact.
-
B.
Xanga
Xanga is a now largely defunct early 2000s social networking and blogging platform that allowed users to create personal blogs, share posts, and interact through comments and subscriptions.
-
C.
Angelfire
Angelfire is a web hosting and website-building service best known for providing free personal homepages during the early days of the consumer internet.
-
D.
Xumo
Xumo is a free, ad-supported streaming television service offering a variety of live and on-demand channels and content.
-
E.
WAWA
WAWA is the station code for Wawa railway station, a train stop located in Wawa, New South Wales, Australia.
- 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: Wapserveen Triple: [Westerveld, contains, Wapserveen]
Generated description
Wapserveen is a small village in the Dutch province of Drenthe, known for its rural character and surrounding natural landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wapserveen Target entity description: Wapserveen is a small village in the Dutch province of Drenthe, known for its rural character and surrounding natural landscapes.
-
A.
WAP
"WAP" is a 2020 hip hop single by Cardi B featuring Megan Thee Stallion, widely known for its explicit lyrics, viral popularity, and cultural impact.
-
B.
Xanga
Xanga is a now largely defunct early 2000s social networking and blogging platform that allowed users to create personal blogs, share posts, and interact through comments and subscriptions.
-
C.
Angelfire
Angelfire is a web hosting and website-building service best known for providing free personal homepages during the early days of the consumer internet.
-
D.
Xumo
Xumo is a free, ad-supported streaming television service offering a variety of live and on-demand channels and content.
-
E.
WAWA
WAWA is the station code for Wawa railway station, a train stop located in Wawa, New South Wales, Australia.
- 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.