Triple
T21882882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waterland |
E540332
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Overleek
Overleek is a small rural village in the Dutch municipality of Waterland in the province of North Holland.
|
E1517572
|
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: Overleek | Statement: [Waterland, containsSettlement, Overleek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Overleek Context triple: [Waterland, containsSettlement, Overleek]
-
A.
Oranjewoud
Oranjewoud is a historic estate and village in the Dutch province of Friesland, long associated with the royal House of Orange-Nassau.
-
B.
Londerzeel
Londerzeel is a municipality in the Flemish Brabant province of Belgium, known for its residential character and proximity to both Brussels and Antwerp.
-
C.
Oostduinkerke
Oostduinkerke is a coastal village in West Flanders, Belgium, known for its North Sea beaches and traditional shrimp fishing on horseback.
-
D.
Hansweert
Hansweert is a small village in the Dutch province of Zeeland, known historically as a canal and shipping hub along the Western Scheldt.
-
E.
Bezuidenhout
Bezuidenhout is a neighborhood in The Hague, Netherlands, known for its residential character and proximity to major government and business districts.
- 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: Overleek Triple: [Waterland, containsSettlement, Overleek]
Generated description
Overleek is a small rural village in the Dutch municipality of Waterland in the province of North Holland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Overleek Target entity description: Overleek is a small rural village in the Dutch municipality of Waterland in the province of North Holland.
-
A.
Oranjewoud
Oranjewoud is a historic estate and village in the Dutch province of Friesland, long associated with the royal House of Orange-Nassau.
-
B.
Londerzeel
Londerzeel is a municipality in the Flemish Brabant province of Belgium, known for its residential character and proximity to both Brussels and Antwerp.
-
C.
Oostduinkerke
Oostduinkerke is a coastal village in West Flanders, Belgium, known for its North Sea beaches and traditional shrimp fishing on horseback.
-
D.
Hansweert
Hansweert is a small village in the Dutch province of Zeeland, known historically as a canal and shipping hub along the Western Scheldt.
-
E.
Bezuidenhout
Bezuidenhout is a neighborhood in The Hague, Netherlands, known for its residential character and proximity to major government and business districts.
- 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_69e0c479a98081908ce333853fdd4348 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f118e890088190aa3023c78a99a536 |
completed | April 28, 2026, 8:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a80969340819099fd82e8ebd5719c |
completed | May 18, 2026, 2:59 a.m. |
| NEDg | Description generation | batch_6a0a849039a88190a47d14dfd8c43748 |
completed | May 18, 2026, 3:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a852ded908190826fb128889791a6 |
completed | May 18, 2026, 3:19 a.m. |
Created at: April 16, 2026, 7:05 p.m.