Triple
T16821860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santpoort-Noord |
E408912
|
entity |
| Predicate | hasSportClub |
P346
|
FINISHED |
| Object | VV 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: VV Velsen | Statement: [Santpoort-Noord, hasSportClub, VV Velsen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VV Velsen Context triple: [Santpoort-Noord, hasSportClub, VV 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.
Heerenveen
Heerenveen is a Dutch town in the province of Friesland, known for its speed skating arena Thialf and its football club SC Heerenveen.
-
C.
Velp
Velp is a village in the Dutch province of Gelderland, near Arnhem, known as a gateway to the scenic Veluwezoom National Park.
-
D.
Zoetermeer Oost
Zoetermeer Oost is a railway station serving the eastern part of the city of Zoetermeer in the Netherlands.
-
E.
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.
- 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_69d88394566c8190b3dcbdc72935f7fa |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b2e77ab88190be1ec8179251864e |
completed | April 18, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00bb11f8708190ae762a28710e4246 |
completed | May 10, 2026, 5:06 p.m. |
Created at: April 10, 2026, 5:23 a.m.