Triple
T7868362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duinkerke |
E182674
|
entity |
| Predicate | DutchName |
P13254
|
FINISHED |
| Object | Duinkerke |
E182674
|
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: Duinkerke | Statement: [Duinkerke, DutchName, Duinkerke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Duinkerke Context triple: [Duinkerke, DutchName, Duinkerke]
-
A.
Duinkerke
chosen
Duinkerke is the Dutch name for Dunkirk, a historic port city in northern France known for its pivotal World War II evacuation.
-
B.
Koudekerke
Koudekerke is a village in the Dutch province of Zeeland, located near the North Sea coast on the former island of Walcheren.
-
C.
Oostduinkerke
Oostduinkerke is a coastal village in West Flanders, Belgium, known for its North Sea beaches and traditional shrimp fishing on horseback.
-
D.
Breskens
Breskens is a coastal town in the southwest of the Netherlands, known for its fishing harbor, North Sea beaches, and ferry connection across the Western Scheldt.
-
E.
Diksmuide
Diksmuide is a historic town in western Belgium known for its World War I battlefields and memorials, particularly the Yser Tower.
- 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_69ca82894d9081908a832bfce71a4714 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3847c7fc819098e32b6548943da7 |
completed | March 31, 2026, 2:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5b60b3b08190832837bacb8ce965 |
completed | March 31, 2026, 5:28 a.m. |
Created at: March 30, 2026, 4:55 p.m.