Triple
T16181900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Freiberger Mulde |
E392701
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Roßwein |
E709501
|
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: Roßwein | Statement: [Freiberger Mulde, flowsThrough, Roßwein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roßwein Context triple: [Freiberger Mulde, flowsThrough, Roßwein]
-
A.
Roßwein
chosen
Roßwein is a small town in the Free State of Saxony in eastern Germany, known for its historical architecture and location along the Freiberger Mulde river.
-
B.
Winer
Winer is a surname most notably associated with Dave Winer, an influential software developer and pioneer of blogging and RSS technologies.
-
C.
Walewein
Walewein is the Middle Dutch name for Sir Gawain, a prominent knight of the Round Table in Arthurian legend known for his chivalry and complex moral tests.
-
D.
Lemberger
Lemberger is a dark-skinned red wine grape variety, also known as Blaufränkisch, valued for producing spicy, medium- to full-bodied wines.
-
E.
Weinke
Weinke is a surname most notably associated with Chris Weinke, a former American football quarterback and Heisman Trophy winner.
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2205d858c8190802d44e08e3cdcd6 |
completed | April 17, 2026, 11:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffff0022148190bc1810e76cf6d994 |
completed | May 10, 2026, 3:44 a.m. |
Created at: April 10, 2026, 5:02 a.m.