Triple
T12033188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kennemerland |
E286462
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Velsen |
E83948
|
NE FINISHED |
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: Velsen | Statement: [Kennemerland, contains, Velsen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Velsen Context triple: [Kennemerland, contains, Velsen]
-
A.
Velsen
chosen
Velsen is a municipality in the province of North Holland in the Netherlands, known for the port city of IJmuiden and its major steel industry.
-
B.
Velp
Velp is a village in the Dutch province of Gelderland, near Arnhem, known as a gateway to the scenic Veluwezoom National Park.
-
C.
Bloemendaal
Bloemendaal is a coastal municipality in North Holland, Netherlands, known for its beaches, dunes, and affluent residential areas.
-
D.
Leusden
Leusden is a Dutch town and municipality in the central Netherlands, known for its green residential character and proximity to the city of Amersfoort.
-
E.
Voorhout
Voorhout is a village in South Holland, Netherlands, that forms part of the municipality of Teylingen.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e3cd0648190ac6d5587bd7024a7 |
completed | May 2, 2026, 3:54 p.m. |
Created at: April 8, 2026, 9:47 p.m.