Triple
T10081369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Merseburg |
E213906
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Saale river valley |
E693399
|
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: Saale river valley | Statement: [Merseburg, region, Saale river valley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saale river valley Context triple: [Merseburg, region, Saale river valley]
-
A.
Saale River valley
chosen
The Saale River valley is a scenic river landscape in central Germany characterized by winding waterways, steep slopes, and a mix of forests, vineyards, and historic towns.
-
B.
Wuhle Valley
Wuhle Valley is a river valley in Berlin, Germany, shaped by and named after the Wuhle River.
-
C.
Saale River basin
The Saale River basin is the drainage area of the Saale River in central Germany, encompassing its tributaries and surrounding landscapes before the river joins the Elbe.
-
D.
Neiße valley
The Neiße valley is a scenic river valley along the Lusatian Neisse on the German-Polish border, known for its natural landscapes and historic towns such as Görlitz.
-
E.
Weser River valley
The Weser River valley is a major geographical corridor in northwestern Germany, known for its scenic landscapes, historic towns, and role as an important route for transport and regional development.
- 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_69ca839bf730819086900c323c9b8c95 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd032ef288190a961d266d9ecafbc |
completed | April 2, 2026, 2:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2cbcc82988190903efb78d0a4ce81 |
completed | April 5, 2026, 8:53 p.m. |
Created at: March 30, 2026, 9 p.m.