Triple
T7989308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vals |
E185760
|
entity |
| Predicate | river |
P165
|
FINISHED |
| Object | Valser Rhein |
E322591
|
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: Valser Rhein | Statement: [Vals, river, Valser Rhein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valser Rhein Context triple: [Vals, river, Valser Rhein]
-
A.
Alpine Rhine
The Alpine Rhine is the upper stretch of the Rhine River flowing through the Alpine region, forming part of the border between Switzerland, Liechtenstein, and Austria.
-
B.
Vorderrhein
chosen
Vorderrhein is one of the two main headwater rivers of the Rhine in the Swiss Alps, flowing through the canton of Graubünden before joining the Hinterrhein.
-
C.
Rhens
Rhens is a historic town on the Rhine River in western Germany, known for its medieval role as a meeting place of the prince-electors of the Holy Roman Empire.
-
D.
High Rhine
The High Rhine is a stretch of the Rhine River in Central Europe, flowing swiftly between Lake Constance and Basel and forming part of the border between Germany and Switzerland.
-
E.
Siegtal
Siegtal is the valley region through which the river Sieg flows in western Germany, known for its scenic landscapes and small towns.
- 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_69ca829a2cfc819083d591d58ec04075 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3c4f98808190879113ad4af9bb4d |
completed | March 31, 2026, 3:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc63b96ed48190b752865ef3855e46 |
completed | April 1, 2026, 12:15 a.m. |
Created at: March 30, 2026, 5:16 p.m.