Triple
T2538664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prater |
E56329
|
entity |
| Predicate | near |
P350
|
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: [Prater, near, Danube River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Danube River Context triple: [Prater, near, 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.
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.
-
C.
Tisza
The Tisza is one of Central Europe's significant rivers, flowing through several countries including Hungary before joining the Danube.
-
D.
Körös
Körös is a river in Central Europe that flows through eastern Hungary and parts of Romania before joining the Tisza River.
-
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_69ab4a49b6508190bc467fbef4bac334 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd298fc2481908b2925bf6a06532b |
completed | March 7, 2026, 7:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b01d1c73d88190b4e871b9876e1a52 |
completed | March 10, 2026, 1:31 p.m. |
Created at: March 6, 2026, 9:47 p.m.