Triple
T12033185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kennemerland |
E286462
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | IJmuiden |
—
|
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: IJmuiden | Statement: [Kennemerland, contains, IJmuiden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IJmuiden Context triple: [Kennemerland, contains, IJmuiden]
-
A.
IJmuiden
chosen
IJmuiden is a Dutch port and industrial town on the North Sea coast, known for its major fishing harbor, steel industry, and sea locks connecting to the North Sea Canal.
-
B.
Hellevoetsluis
Hellevoetsluis is a historic Dutch port town known for its maritime heritage and coastal location in the western Netherlands.
-
C.
Purmerend
Purmerend is a Dutch city and municipality located in the province of North Holland, known historically as a market town north of Amsterdam.
-
D.
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.
-
E.
Delfzijl
Delfzijl is a port town in the northeast of the Netherlands, known for its maritime industry and location on the Ems estuary near the German border.
- 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_69d6ab4669e48190b59246358b0383ab |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9040724ec8190808f334013ddc6d6 |
completed | April 10, 2026, 2:07 p.m. |
Created at: April 8, 2026, 9:47 p.m.