Triple
T10929313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Groningen railway station |
E258156
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Bad Nieuweschans |
E850268
|
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: Bad Nieuweschans | Statement: [Groningen railway station, connectsTo, Bad Nieuweschans]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bad Nieuweschans Context triple: [Groningen railway station, connectsTo, Bad Nieuweschans]
-
A.
Bad Nieuweschans
chosen
Bad Nieuweschans is a small spa village in the province of Groningen in the northeastern Netherlands, known for its thermal baths and location near the German border.
-
B.
Kaatsheuvel
Kaatsheuvel is a Dutch village best known as the home of the Efteling theme park, one of Europe’s largest and oldest amusement parks.
-
C.
Badbergen
Badbergen is a municipality in Lower Saxony, Germany, known for its rural character and location within the Osnabrück district.
-
D.
De Wijk
De Wijk is a village in the Dutch province of Drenthe, known for its historic buildings and rural character within the municipality of De Wolden.
-
E.
Beinsdorp
Beinsdorp is a small village in the Dutch province of North Holland, situated within the municipality of Haarlemmermeer.
- 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_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7709eb0ec819093f7d3f99097bbe4 |
completed | April 9, 2026, 9:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e217475344819088b44b6efb2df1c8 |
completed | April 17, 2026, 11:19 a.m. |
Created at: April 8, 2026, 9:22 p.m.