Triple
T16582892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walcheren |
E402879
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Westkapelle |
E363399
|
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: Westkapelle | Statement: [Walcheren, contains, Westkapelle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Westkapelle Context triple: [Walcheren, contains, Westkapelle]
-
A.
Westkapelle
chosen
Westkapelle is a coastal village in the Dutch province of Zeeland, known for its dikes, beaches, and World War II history.
-
B.
Westerkappeln
Westerkappeln is a municipality in the German state of North Rhine-Westphalia, known for its rural character and location near the city of Osnabrück.
-
C.
Hansweert
Hansweert is a small village in the Dutch province of Zeeland, known historically as a canal and shipping hub along the Western Scheldt.
-
D.
Oostkapelle
Oostkapelle is a coastal village in the Dutch province of Zeeland, known for its beaches, dunes, and location on the former island of Walcheren.
-
E.
Grijpskerke
Grijpskerke is a village in the Dutch province of Zeeland, located on the former island of Walcheren.
- 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_69d88387363c8190a97a0c942130de97 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35999088c8190900497f18728bd0b |
completed | April 18, 2026, 10:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0084b077f481909796b5b60f501239 |
completed | May 10, 2026, 1:14 p.m. |
Created at: April 10, 2026, 5:16 a.m.