Triple
T21183364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roosendaal |
E522007
|
entity |
| Predicate | formedByMergerOf |
P77
|
FINISHED |
| Object | Roosendaal en Nispen |
—
|
NE NERFINISHED |
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: Roosendaal en Nispen | Statement: [Roosendaal, formedByMergerOf, Roosendaal en Nispen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roosendaal en Nispen Context triple: [Roosendaal, formedByMergerOf, Roosendaal en Nispen]
-
A.
Roosendaal
chosen
Roosendaal is a city in the southern Netherlands known as a regional center for commerce and transport near the Belgian border.
-
B.
Nijkerk
Nijkerk is a historic town and municipality in the Dutch province of Gelderland in the central Netherlands.
-
C.
Weesp
Weesp is a historic town in the province of North Holland in the Netherlands, known for its canals, fortified structures, and traditional Dutch architecture.
-
D.
Naarden
Naarden is a historic Dutch fortified town in North Holland, renowned for its well-preserved star-shaped fortifications and moats.
-
E.
Woerden
Woerden is a historic Dutch city and municipality in the central Netherlands, known for its medieval fortifications and traditional cheese market.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b50ef1d48190b063aa342667df22 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7301f7f1c81908686866fdee57127 |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 3:05 p.m.