Triple
T14835540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stadtpark |
E348819
|
entity |
| Predicate | dividedBy |
P10893
|
FINISHED |
| Object | Wien River |
E1117249
|
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: Wien River | Statement: [Stadtpark, dividedBy, Wien River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wien River Context triple: [Stadtpark, dividedBy, Wien River]
-
A.
Wien River
chosen
The Wien River is a small river in Vienna, Austria, that flows through the city and into the Danube Canal, historically significant for urban development and flood control.
-
B.
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.
-
C.
Steyr River
The Steyr River is a tributary in Upper Austria that flows through the town of Steyr before joining the Enns River, known for its clear waters and picturesque alpine surroundings.
-
D.
Traun River
The Traun River is a major tributary of the Danube in Austria, flowing through the Salzkammergut lake district and the state of Upper Austria.
-
E.
Traisen
Traisen is a river in northeastern Austria that flows through Lower Austria 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_69d822ec69008190a9232caa68836872 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded076ac9c8190a05cabec5e87d207 |
completed | April 14, 2026, 11:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe64fc8cdc8190a142a2a3ef889e72 |
completed | May 8, 2026, 10:34 p.m. |
Created at: April 10, 2026, 1:52 a.m.