Triple
T22618791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weiße Rose |
E558216
|
entity |
| Predicate | operatedIn |
P40
|
FINISHED |
| Object | Süddeutschland |
—
|
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: Süddeutschland | Statement: [Weiße Rose, operatedIn, Süddeutschland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Süddeutschland Context triple: [Weiße Rose, operatedIn, Süddeutschland]
-
A.
southern Germany
chosen
Southern Germany is a culturally and economically significant region of Germany known for its Alpine landscapes, historic cities, and strong regional identities such as Bavaria and Baden-Württemberg.
-
B.
Bavaria
Bavaria is a historic region and federal state in southeastern Germany, known for its distinct cultural traditions, large size and population, and major cities such as Munich.
-
C.
Baviera
Baviera is a barangay, or local administrative village, within the city of Sagay in the Philippines.
-
D.
southwestern Germany
Southwestern Germany is a region of Germany known for its forested landscapes, wine-growing areas, and proximity to France and Switzerland.
-
E.
Upper Germany
Upper Germany was a Roman imperial province along the upper Rhine frontier, encompassing parts of modern southwestern Germany, eastern France, and Switzerland.
- 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_69e24545a8e08190bfa7482a2c725ff1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f16e377ae88190832edfdfbc3ed58f |
completed | April 29, 2026, 2:34 a.m. |
Created at: April 17, 2026, 3 p.m.