Triple
T20216179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zwartewaterland |
E495130
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Kamperzeedijk
Kamperzeedijk is a small village in the Dutch province of Overijssel, known for its rural character and location within the municipality of Zwartewaterland.
|
E1418538
|
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: Kamperzeedijk | Statement: [Zwartewaterland, containsSettlement, Kamperzeedijk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kamperzeedijk Context triple: [Zwartewaterland, containsSettlement, Kamperzeedijk]
-
A.
Schipbeek
Schipbeek is a small river in the eastern Netherlands that flows through the provinces of Overijssel and Gelderland before joining the IJssel.
-
B.
Kootwijkerbroek
Kootwijkerbroek is a rural village in the Dutch province of Gelderland, known for its agricultural character and close-knit community.
-
C.
Geersdijk
Geersdijk is a small village located on the island of North Beveland in the Dutch province of Zeeland.
-
D.
Maartensdijk
Maartensdijk is a village in the Dutch province of Utrecht that forms part of the municipality of De Bilt.
-
E.
Kortenberglaan
Kortenberglaan is a major avenue in Brussels, Belgium, running through the European Quarter and lined with offices, embassies, and EU-related institutions.
- 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: Kamperzeedijk Triple: [Zwartewaterland, containsSettlement, Kamperzeedijk]
Generated description
Kamperzeedijk is a small village in the Dutch province of Overijssel, known for its rural character and location within the municipality of Zwartewaterland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kamperzeedijk Target entity description: Kamperzeedijk is a small village in the Dutch province of Overijssel, known for its rural character and location within the municipality of Zwartewaterland.
-
A.
Schipbeek
Schipbeek is a small river in the eastern Netherlands that flows through the provinces of Overijssel and Gelderland before joining the IJssel.
-
B.
Kootwijkerbroek
Kootwijkerbroek is a rural village in the Dutch province of Gelderland, known for its agricultural character and close-knit community.
-
C.
Geersdijk
Geersdijk is a small village located on the island of North Beveland in the Dutch province of Zeeland.
-
D.
Maartensdijk
Maartensdijk is a village in the Dutch province of Utrecht that forms part of the municipality of De Bilt.
-
E.
Kortenberglaan
Kortenberglaan is a major avenue in Brussels, Belgium, running through the European Quarter and lined with offices, embassies, and EU-related institutions.
- 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_69da626cff80819097b530718a7c98b6 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ed8cc8c8190889ecadc702010d8 |
completed | April 20, 2026, 6:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0843f447b481908faa28cc504fcea9 |
completed | May 16, 2026, 10:16 a.m. |
| NEDg | Description generation | batch_6a0845367ccc8190b1232173205e750d |
completed | May 16, 2026, 10:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0845e241048190ba7fb657d4dca3d7 |
completed | May 16, 2026, 10:24 a.m. |
Created at: April 11, 2026, 11:38 p.m.