Triple
T14442494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Veerse Meer |
E358116
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object | Arnemuiden |
E381020
|
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: Arnemuiden | Statement: [Veerse Meer, nearbySettlement, Arnemuiden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arnemuiden Context triple: [Veerse Meer, nearbySettlement, Arnemuiden]
-
A.
Arnemuiden
chosen
Arnemuiden is a small historic town in the Dutch province of Zeeland, known for its maritime heritage and traditional fishing culture.
-
B.
Heessen
Heessen is a district of the German city of Hamm, located in the state of North Rhine-Westphalia.
-
C.
Monnickendam
Monnickendam is a historic fishing town in North Holland, Netherlands, known for its well-preserved old harbor and traditional Dutch architecture.
-
D.
Eemsmond
Eemsmond was a former municipality in the province of Groningen in the Netherlands, located in the far north along the Wadden Sea coast.
-
E.
Krimpenerwaard
Krimpenerwaard is a rural municipality in the Dutch province of South Holland, known for its polder landscapes, dikes, and traditional villages between the rivers Lek and Hollandse IJssel.
- 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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de915d28ec81909e72124e9dd67bfb |
completed | April 14, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5bda6ee88190aeec77092eb3576a |
completed | May 8, 2026, 3:43 a.m. |
Created at: April 10, 2026, 1:18 a.m.