Triple
T22414551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bedafse Bergen dunes |
E554082
|
entity |
| Predicate | nearbyCity |
P350
|
FINISHED |
| Object | Veghel |
—
|
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: Veghel | Statement: [Bedafse Bergen dunes, nearbyCity, Veghel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Veghel Context triple: [Bedafse Bergen dunes, nearbyCity, Veghel]
-
A.
Veghel
chosen
Veghel is a town in the southern Netherlands known as an industrial and logistics hub within the province of North Brabant.
-
B.
Venray
Venray is a town and municipality in the Dutch province of Limburg, known for its historic center and role in World War II.
-
C.
Yerseke
Yerseke is a Dutch village in the province of Zeeland, best known for its mussel and oyster farming along the Eastern Scheldt.
-
D.
Lobith
Lobith is a village in the Dutch province of Gelderland, near the German border, historically known as a Rhine border and customs point.
-
E.
Zundert
Zundert is a municipality and town in the southern Netherlands, known as the birthplace of painter Vincent van Gogh and for hosting one of the world's largest flower parades.
- 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_69e11e4e6ce8819085a1e06d886bf21c |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15945486081908eb3a7b0441c0ef1 |
completed | April 29, 2026, 1:05 a.m. |
Created at: April 16, 2026, 8:46 p.m.