Triple
T21882877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waterland |
E540332
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Ilpendam |
—
|
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: Ilpendam | Statement: [Waterland, containsSettlement, Ilpendam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ilpendam Context triple: [Waterland, containsSettlement, Ilpendam]
-
A.
Ilpendam
chosen
Ilpendam is a small village in the Dutch province of North Holland, known for its traditional rural character and proximity to Amsterdam.
-
B.
Spaarndam
Spaarndam is a historic Dutch village in North Holland, known for its old sluices and dikes along the river Spaarne and its traditional waterfront charm.
-
C.
Gaasperdam
Gaasperdam is a residential neighborhood in the southeastern part of Amsterdam known for its green spaces and proximity to the Gaasperplas recreational area.
-
D.
Monnickendam
Monnickendam is a historic fishing town in North Holland, Netherlands, known for its well-preserved old harbor and traditional Dutch architecture.
-
E.
Veenendaal
Veenendaal is a Dutch town and municipality in the central Netherlands, known for its location between Utrecht and the Veluwe and its mix of residential, commercial, and light industrial areas.
- 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.