Triple
T21882904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waterland |
E540332
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Zaanstad |
—
|
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: Zaanstad | Statement: [Waterland, borderedBy, Zaanstad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zaanstad Context triple: [Waterland, borderedBy, Zaanstad]
-
A.
Zaanstad
chosen
Zaanstad is a municipality in the province of North Holland in the Netherlands, known for its historic windmills, industrial heritage, and the picturesque Zaanse Schans area.
-
B.
Vlaardingen
Vlaardingen is a historic port city in the western Netherlands, situated along the Nieuwe Maas river and known for its former herring fishing industry.
-
C.
Zaandam
Zaandam is a city in the North Holland province of the Netherlands, known for its historic windmills, traditional wooden houses, and proximity to Amsterdam.
-
D.
Alblasserdam
Alblasserdam is a town and municipality in the western Netherlands, situated along the Noord River and known for its proximity to the Kinderdijk windmills.
-
E.
Hellevoetsluis
Hellevoetsluis is a historic Dutch port town known for its maritime heritage and coastal location in the western Netherlands.
- 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.