Triple
T22801626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raalte |
E564407
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Salland |
—
|
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: Salland | Statement: [Raalte, region, Salland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Salland Context triple: [Raalte, region, Salland]
-
A.
Salland
chosen
Salland is a historical and rural region in the Dutch province of Overijssel, known for its scenic landscapes, small towns, and agricultural character.
-
B.
Saxon Drenthe
Saxon Drenthe is a cultural region in the Dutch province of Drenthe characterized by traditional Saxon farmhouses, rural landscapes, and historic village structures.
-
C.
Vechta
Vechta is a town in Lower Saxony, Germany, known for its historical significance, university, and annual Stoppelmarkt fair.
-
D.
Southwest Drenthe
Southwest Drenthe is a region in the Dutch province of Drenthe that includes the town of Hoogeveen and its surrounding areas.
-
E.
Drents
Drents is a Low Saxon dialect spoken in the Dutch province of Drenthe, closely related to neighboring regional varieties in the northeastern Netherlands.
- 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_69e2458185f88190b0045227ee420411 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17cdd87648190ba30f0b8f3ef7346 |
completed | April 29, 2026, 3:37 a.m. |
Created at: April 17, 2026, 3:31 p.m.