Triple
T17683519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kalenberg |
E440829
|
entity |
| Predicate | locatedInProtectedArea |
P40
|
FINISHED |
| Object | De Weerribben |
—
|
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: De Weerribben | Statement: [Kalenberg, locatedInProtectedArea, De Weerribben]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: De Weerribben Context triple: [Kalenberg, locatedInProtectedArea, De Weerribben]
-
A.
De Weerribben
chosen
De Weerribben is a renowned wetland nature reserve in the Dutch province of Overijssel, famous for its peat bogs, canals, and rich biodiversity.
-
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.
Krimpenerwaard
Krimpenerwaard is a rural municipality in the Dutch province of South Holland, known for its polder landscapes, dikes, and traditional villages between the rivers Lek and Hollandse IJssel.
-
D.
Kees Fens
Kees Fens was a prominent Dutch literary critic, essayist, and professor known for his influential writings on modern Dutch literature.
-
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_69d8b9e940b081908b862bb0e6e89b0d |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4704626308190bbdd98d27beb3f24 |
completed | April 19, 2026, 6:03 a.m. |
Created at: April 10, 2026, 10:02 a.m.