Triple
T16222916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eulach |
E393773
|
entity |
| Predicate | tributaryOf |
P415
|
FINISHED |
| Object | Töss |
E1031334
|
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: Töss | Statement: [Eulach, tributaryOf, Töss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Töss Context triple: [Eulach, tributaryOf, Töss]
-
A.
Töss
chosen
The Töss is a river in the canton of Zurich in northern Switzerland, known for flowing through the Töss Valley and contributing significantly to the region’s drainage and landscape.
-
B.
Tuttlingen
Tuttlingen is a town in the state of Baden-Württemberg in southern Germany, known as a major center of the medical technology and surgical instrument industry.
-
C.
Lahr
Lahr is a town in southwestern Germany’s Baden-Württemberg region, situated near the Rhine River opposite Strasbourg and known for its historic center and proximity to the Black Forest.
-
D.
Ettlingen
Ettlingen is a historic town in the state of Baden-Württemberg in southwestern Germany, known for its well-preserved old town and proximity to the city of Karlsruhe.
-
E.
Schönaich
Schönaich is a municipality in the German state of Baden-Württemberg, known for its local community life and international town twinning partnerships.
- 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_69d87f204df88190a8f88923decf9835 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e23d23e63881908806920d878f2adb |
completed | April 17, 2026, 2:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00456f2ba481909f243ab2c4619623 |
completed | May 10, 2026, 8:44 a.m. |
Created at: April 10, 2026, 5:03 a.m.