Triple
T6583351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seelter Buund |
E157356
|
entity |
| Predicate | focusesOn |
P31
|
FINISHED |
| Object | Saterland (Germany) |
E157352
|
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: Saterland (Germany) | Statement: [Seelter Buund, focusesOn, Saterland (Germany)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saterland (Germany) Context triple: [Seelter Buund, focusesOn, Saterland (Germany)]
-
A.
Saterland
chosen
Saterland is a small municipality in Lower Saxony, Germany, known as the last stronghold of the Saterland Frisian language and culture.
-
B.
Pinneberg
Pinneberg is a town in northern Germany that serves as the administrative center of the district of the same name near Hamburg.
-
C.
Emsland
Emsland is a rural region in western Germany known for its agriculture, peatlands, and location along the River Ems near the Dutch border.
-
D.
Oldenburg, Germany
Oldenburg, Germany is a historic city in northwestern Germany known for its former status as a grand duchy’s capital and its well-preserved old town.
-
E.
Lüneburg Heath
Lüneburg Heath is a large heath and nature reserve in northern Germany known for its purple heather landscapes, historic villages, and protected wildlife habitats.
- 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_69c6882b3a108190b3a9eb343ae4162c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae938184819088234aad9cc997e1 |
completed | March 27, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d572c4708190844f4b1abee8ca86 |
completed | March 27, 2026, 7:07 p.m. |
Created at: March 27, 2026, 1:54 p.m.