Triple
T10326285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oldenzaal |
E242770
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Dinkelland |
E413747
|
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: Dinkelland | Statement: [Oldenzaal, borderedBy, Dinkelland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dinkelland Context triple: [Oldenzaal, borderedBy, Dinkelland]
-
A.
Dinkelland
chosen
Dinkelland is a rural municipality in the eastern Netherlands, located in the Twente region of the province of Overijssel near the German border.
-
B.
’s-Gravenland
’s-Gravenland is a residential district in the Dutch city of Capelle aan den IJssel, located in the province of South Holland.
-
C.
Land van Heusden
Land van Heusden is a historic region in the northern part of the Dutch province of North Brabant, centered around the town of Heusden and known for its medieval fortifications and river landscapes.
-
D.
Landsmeer
Landsmeer is a small Dutch town and municipality in North Holland, situated just north of Amsterdam and known for its watery landscapes and nature reserves.
-
E.
Maasland
Maasland is a historical region in the Low Countries centered along the river Meuse, known for its medieval political and cultural significance.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7cd76348190b93562112300acfc |
completed | April 7, 2026, 10:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71da93b988190ad568b0677b5d344 |
completed | April 9, 2026, 3:31 a.m. |
Created at: April 6, 2026, 11:51 a.m.