Triple
T4701050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bruinisse |
E104270
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | Grevelingen |
E16931
|
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: Grevelingen | Statement: [Bruinisse, locatedOn, Grevelingen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grevelingen Context triple: [Bruinisse, locatedOn, Grevelingen]
-
A.
Grevelingen
chosen
Grevelingen is a large saltwater lake and former estuary in the southwestern Netherlands, known for its nature reserves, water sports, and role in the Delta Works coastal defense system.
-
B.
Kop van Schouwen
Kop van Schouwen is a large coastal dune and forest nature reserve on the island of Schouwen-Duiveland in the Dutch province of Zeeland, known for its varied landscapes and rich biodiversity.
-
C.
Monnickendam
Monnickendam is a historic fishing town in North Holland, Netherlands, known for its well-preserved old harbor and traditional Dutch architecture.
-
D.
Oegstgeest
Oegstgeest is a suburban town in the western Netherlands, known for its leafy residential character and proximity to the city of Leiden.
-
E.
Wessum
Wessum is a village and district within the town of Ahaus in the state of North Rhine-Westphalia, Germany.
- 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_69bd43e9b88481908582103dcadff3d9 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd63cd447081908120ee1691009982 |
completed | March 20, 2026, 3:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be1062fa8c81909263e6757ef7c2d5 |
completed | March 21, 2026, 3:28 a.m. |
Created at: March 20, 2026, 1:17 p.m.