Triple
T3789401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zwartewaal |
E89607
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object |
Brielse Meer
Brielse Meer is a former estuarine inlet in South Holland, Netherlands, now a dammed-off lake popular for recreation and water sports.
|
E429068
|
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: Brielse Meer | Statement: [Zwartewaal, locatedOn, Brielse Meer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brielse Meer Context triple: [Zwartewaal, locatedOn, Brielse Meer]
-
A.
Biesbosch
Biesbosch is a large freshwater tidal wetland and national park in the Netherlands, known for its intricate network of rivers, creeks, and rich birdlife.
-
B.
Oldambtmeer
Oldambtmeer is an artificial lake in the municipality of Oldambt in the province of Groningen, Netherlands, created as part of a large-scale landscape and recreational development project.
-
C.
Braassemermeer
Braassemermeer is a lake in the Dutch province of South Holland, known for recreational boating and water sports.
-
D.
Markiezaatsmeer
Markiezaatsmeer is a Dutch lake and nature reserve in the province of North Brabant, known for its wetlands and rich birdlife.
-
E.
Haarlemmermeer
Haarlemmermeer is a municipality in the province of North Holland in the Netherlands, best known for encompassing Amsterdam Airport Schiphol.
- 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: Brielse Meer Triple: [Zwartewaal, locatedOn, Brielse Meer]
Generated description
Brielse Meer is a former estuarine inlet in South Holland, Netherlands, now a dammed-off lake popular for recreation and water sports.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brielse Meer Target entity description: Brielse Meer is a former estuarine inlet in South Holland, Netherlands, now a dammed-off lake popular for recreation and water sports.
-
A.
Biesbosch
Biesbosch is a large freshwater tidal wetland and national park in the Netherlands, known for its intricate network of rivers, creeks, and rich birdlife.
-
B.
Oldambtmeer
Oldambtmeer is an artificial lake in the municipality of Oldambt in the province of Groningen, Netherlands, created as part of a large-scale landscape and recreational development project.
-
C.
Braassemermeer
Braassemermeer is a lake in the Dutch province of South Holland, known for recreational boating and water sports.
-
D.
Markiezaatsmeer
Markiezaatsmeer is a Dutch lake and nature reserve in the province of North Brabant, known for its wetlands and rich birdlife.
-
E.
Haarlemmermeer
Haarlemmermeer is a municipality in the province of North Holland in the Netherlands, best known for encompassing Amsterdam Airport Schiphol.
- 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_69aed9597d6881909b6ee3b9de859223 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee76570b481909c26d47a3251b180 |
completed | March 9, 2026, 3:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5c6ed5910819095de0dce09bd50b8 |
completed | March 14, 2026, 8:37 p.m. |
| NEDg | Description generation | batch_69b5c779d28c81909fdb37adb045684c |
completed | March 14, 2026, 8:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5c7f6195481909167c972e1838cc9 |
completed | March 14, 2026, 8:41 p.m. |
Created at: March 9, 2026, 3:15 p.m.