Triple
T22266419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nieuwpoort-Bad |
E550362
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Nieuwpoort |
—
|
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: Nieuwpoort | Statement: [Nieuwpoort-Bad, partOf, Nieuwpoort]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nieuwpoort Context triple: [Nieuwpoort-Bad, partOf, Nieuwpoort]
-
A.
Nieuwpoort
chosen
Nieuwpoort is a coastal town in West Flanders, Belgium, known for its historic harbor and its strategic role in World War I.
-
B.
Nieuwpoort
Nieuwpoort is a small historic city in the Dutch province of South Holland, known for its well-preserved fortifications and picturesque setting along the River Lek.
-
C.
Milport
Milport is a fictional British parliamentary constituency featured in Patrick O’Brian’s Aubrey–Maturin historical naval novels.
-
D.
Wilhelmshaven
Wilhelmshaven is a coastal city in northwestern Germany known for its major naval base and port on the North Sea.
-
E.
Terneuzen port
Terneuzen port is a major Dutch seaport and industrial hub on the Western Scheldt, known for its role in maritime trade and access to the Ghent–Terneuzen Canal.
- 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_69e11e43d8208190aff4f9cf7f2c2a8a |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f141bc458c81909837373d749b915d |
completed | April 28, 2026, 11:24 p.m. |
Created at: April 16, 2026, 8:39 p.m.