Triple
T21305306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mur River |
E525180
|
entity |
| Predicate | riverSystem |
P1009
|
FINISHED |
| Object | Danube |
E12683
|
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: Danube | Statement: [Mur River, riverSystem, Danube]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Danube Context triple: [Mur River, riverSystem, Danube]
-
A.
Danube
chosen
The Danube is one of Europe's longest and most historically significant rivers, flowing from Germany to the Black Sea and passing through numerous Central and Eastern European countries.
-
B.
Little Danube
The Little Danube is a distributary of the Danube River in western Slovakia, known for its meandering course, floodplain forests, and popular recreational waterways.
-
C.
Donauquelle
Donauquelle is the spring in Donaueschingen, Germany traditionally regarded as the source of the Danube River.
-
D.
Elbe
The Elbe is one of Central Europe's major rivers, flowing from the Czech Republic through Germany to the North Sea and serving as an important waterway for transport, industry, and agriculture.
-
E.
The Red Danube
The Red Danube is a 1949 drama film set in post-World War II Vienna that explores Cold War tensions and moral dilemmas surrounding Soviet repatriation policies.
- 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_69e0b518b8948190ad69cf9a8784d397 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e75aa3f90481909b212bdbf00c2bb0 |
completed | April 21, 2026, 11:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a099ed32130819081479d9845d74ac3 |
completed | May 17, 2026, 10:56 a.m. |
Created at: April 16, 2026, 4:05 p.m.