Triple
T18171742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Park De Biesbosch |
E435044
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Biesbosch |
—
|
NE NERFINISHED |
How this triple was built (2 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: Biesbosch | Statement: [National Park De Biesbosch, partOf, Biesbosch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Biesbosch Context triple: [National Park De Biesbosch, partOf, Biesbosch]
-
A.
Biesbosch
chosen
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.
Zuiderwoude
Zuiderwoude is a small historic village in the Dutch province of North Holland, known for its traditional wooden houses and watery polder landscape near Amsterdam.
-
C.
Brielse Meer
Brielse Meer is a former estuarine inlet in South Holland, Netherlands, now a dammed-off lake popular for recreation and water sports.
-
D.
Brederwiede
Brederwiede was a former Dutch municipality in the province of Overijssel that was later incorporated into the municipality of Steenwijkerland.
-
E.
Waterschei
Waterschei is a district of the Belgian city of Genk, historically known for its coal mining activities and associated industrial heritage.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b90b7a188190b3fc7b8d4a6cd20a |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4df56190c8190a3644333f9050a10 |
completed | April 19, 2026, 1:57 p.m. |
Created at: April 10, 2026, 10:30 a.m.