Triple
T5180092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inn River |
E116897
|
entity |
| Predicate | mouth |
P407
|
FINISHED |
| Object | Danube River |
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 River | Statement: [Inn River, mouth, Danube River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Danube River Context triple: [Inn River, mouth, Danube River]
-
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.
Draga River
The Draga River is a mountain river in northern Montenegro that flows through the rugged landscapes of Durmitor National Park, contributing to its dramatic canyons and alpine scenery.
-
C.
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.
-
D.
Alte Donau
Alte Donau is a former branch of the Danube River in Vienna that now serves as a popular recreational lake for swimming, boating, and waterside leisure.
-
E.
Tisza
The Tisza is one of Central Europe's significant rivers, flowing through several countries including Hungary before joining the Danube.
- 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_69bd446140f08190becb93c61158f27f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd799a322c8190b8a590cfe70761f5 |
completed | March 20, 2026, 4:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bee061444081909ba050ea2a5e3f48 |
completed | March 21, 2026, 6:16 p.m. |
Created at: March 20, 2026, 1:45 p.m.