Triple
T16582896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walcheren |
E402879
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Serooskerke |
E361428
|
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: Serooskerke | Statement: [Walcheren, contains, Serooskerke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Serooskerke Context triple: [Walcheren, contains, Serooskerke]
-
A.
Serooskerke
chosen
Serooskerke is a village in the Dutch province of Zeeland, known for its rural character and location on the former island of Walcheren.
-
B.
Oostkerk
Oostkerk is a historic domed Protestant church in the Dutch city of Middelburg, known for its distinctive centralised Baroque architecture.
-
C.
Ridderkerk
Ridderkerk is a town and municipality in the western Netherlands, situated near Rotterdam in the province of South Holland.
-
D.
Meliskerke
Meliskerke is a small village in the Dutch province of Zeeland, located on the former island of Walcheren.
-
E.
Grijpskerk
Grijpskerk is a village in the Dutch province of Groningen, known historically as a local agricultural and railway hub.
- 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_6a006ef2d6048190954144ab848760ec |
completed | May 10, 2026, 11:41 a.m. |
Created at: April 10, 2026, 5:16 a.m.