Triple
T21882880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waterland |
E540332
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Zuiderwoude |
—
|
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: Zuiderwoude | Statement: [Waterland, containsSettlement, Zuiderwoude]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zuiderwoude Context triple: [Waterland, containsSettlement, Zuiderwoude]
-
A.
Zuiderwoude
chosen
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.
-
B.
Waterschei
Waterschei is a district of the Belgian city of Genk, historically known for its coal mining activities and associated industrial heritage.
-
C.
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.
-
D.
Lauwersmeer
Lauwersmeer is a lake and national park in the northern Netherlands known for its rich birdlife and protected wetland landscapes.
-
E.
Meppelerdiep
Meppelerdiep is a canalized river and important waterway in the northeastern Netherlands that connects the town of Meppel with larger regional waterways.
- 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_69e0c479a98081908ce333853fdd4348 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f118e890088190aa3023c78a99a536 |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 16, 2026, 7:05 p.m.