Triple
T11085713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wendland region |
E262114
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Dannenberg (Elbe) |
E905281
|
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: Dannenberg (Elbe) | Statement: [Wendland region, contains, Dannenberg (Elbe)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dannenberg (Elbe) Context triple: [Wendland region, contains, Dannenberg (Elbe)]
-
A.
Dannenberg (Elbe)
chosen
Dannenberg (Elbe) is a small town in Lower Saxony, Germany, situated on the Elbe River and known as a local administrative and service center in the Lüchow-Dannenberg district.
-
B.
Chemnitz River
The Chemnitz River is a waterway in the German state of Saxony that flows through and gives its name to the city of Chemnitz.
-
C.
Rüdnitz
Rüdnitz is a small municipality in the Barnim district of the federal state of Brandenburg in northeastern Germany.
-
D.
Zschopau River
The Zschopau River is a tributary of the Freiberger Mulde in Saxony, Germany, flowing through the Ore Mountains and several towns before joining larger river systems.
-
E.
Aken (Elbe)
Aken (Elbe) is a small German town on the Elbe River in Saxony-Anhalt, known for its historic river port and medieval town center.
- 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_69d6aa9983c08190b0ef61603b69feac |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d799c2c7d4819087ac793153340178 |
completed | April 9, 2026, 12:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e496a593c4819090d295119ce50e48 |
completed | April 19, 2026, 8:47 a.m. |
Created at: April 8, 2026, 9:27 p.m.