Triple
T7452975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nieuport |
E172050
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Nieuwpoort-Bad |
E550362
|
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: Nieuwpoort-Bad | Statement: [Nieuport, hasPart, Nieuwpoort-Bad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nieuwpoort-Bad Context triple: [Nieuport, hasPart, Nieuwpoort-Bad]
-
A.
Nieuwpoort-Bad
chosen
Nieuwpoort-Bad is the seaside resort and coastal district of the Belgian city of Nieuwpoort, known for its beaches, promenade, and tourism.
-
B.
Brouwershaven
Brouwershaven is a small historic town in the Dutch province of Zeeland, known for its maritime heritage and well-preserved old center.
-
C.
Nieuwenhoorn
Nieuwenhoorn is a village in the western Netherlands that forms part of the province of South Holland.
-
D.
Blokhuispoort
Blokhuispoort is a former prison complex in Leeuwarden, Netherlands, that has been transformed into a cultural and creative hub with museums, studios, and public spaces.
-
E.
Rijsbergen
Rijsbergen is a village in the Dutch province of North Brabant, located near the Belgian border and known for its rural character.
- 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_69c68a66554c8190add75c65942c0317 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f3ac5c2081908ab03f8bd4586f94 |
completed | March 27, 2026, 9:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c827b9a6048190bd3e3594b9cff2b7 |
completed | March 28, 2026, 7:10 p.m. |
Created at: March 27, 2026, 3:14 p.m.