Triple
T22587710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schapen |
E564844
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Emsland (region) |
—
|
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: Emsland (region) | Statement: [Schapen, locatedIn, Emsland (region)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emsland (region) Context triple: [Schapen, locatedIn, Emsland (region)]
-
A.
Emsland
chosen
Emsland is a rural region in western Germany known for its agriculture, peatlands, and location along the River Ems near the Dutch border.
-
B.
Ammerland (district)
Ammerland is a rural district in Lower Saxony, Germany, known for its peatlands, tree nurseries, and the spa town of Bad Zwischenahn.
-
C.
Münsterland
Münsterland is a rural region in northwestern Germany known for its historic castles, cycling routes, and traditional Westphalian culture.
-
D.
Weser-Ems region
The Weser-Ems region is a northwestern German area in Lower Saxony encompassing several rural districts and cities around the Weser and Ems rivers, known for agriculture, industry, and coastal landscapes.
-
E.
Detmold region
The Detmold region is an administrative region in the German state of North Rhine-Westphalia, encompassing several districts and towns in the eastern part of the state.
- 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_69e245836014819091b91ed3074742a3 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1615de7d48190b1ca46c76a1e609c |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 2:46 p.m.