Triple
T6908768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aurich district |
E159878
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Norden |
E228667
|
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: Norden | Statement: [Aurich district, contains, Norden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Norden Context triple: [Aurich district, contains, Norden]
-
A.
Norden
Norden is a suburban village and residential area within the Metropolitan Borough of Rochdale in Greater Manchester, England.
-
B.
Norden
chosen
Norden is a historic coastal town in northern Germany’s East Frisia region, known for its North Sea proximity and traditional Frisian character.
-
C.
Scandinavia
Scandinavia is a cultural and geographical region in Northern Europe, typically comprising Norway, Sweden, and Denmark, known for its high living standards, social welfare systems, and distinctive Nordic culture.
-
D.
Nord
Nord is a department in northern France known for its industrial heritage, dense population, and proximity to Belgium.
-
E.
Fennoscandia
Fennoscandia is a geological and geographical region in northern Europe that encompasses the Scandinavian and Kola peninsulas, Finland, and parts of northwestern Russia.
- 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_69c68839ccb88190b4aa5cc1aca3448f |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d9be98748190b5cb698e66e3aa42 |
completed | March 27, 2026, 7:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7584fa7208190a0c5338e20518578 |
completed | March 28, 2026, 4:25 a.m. |
Created at: March 27, 2026, 2:25 p.m.