Triple

T14863493
Position Surface form Disambiguated ID Type / Status
Subject Baumgarten E349558 entity
Predicate locatedOnRiver P165 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: [Baumgarten, locatedOnRiver, Wien River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wien River
Context triple: [Baumgarten, locatedOnRiver, 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_69d822ed7e1881909b90fca143ad7e34 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded574d0ec8190a6afed672ba6c2f9 completed April 15, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b4f224c8190bb2e06203c9b3a94 completed May 8, 2026, 11:01 p.m.
Created at: April 10, 2026, 1:54 a.m.