Triple

T2055813
Position Surface form Disambiguated ID Type / Status
Subject Lower Austria E45670 entity
Predicate contains P35 FINISHED
Object Baden bei Wien
Baden bei Wien is a historic spa town in eastern Austria renowned for its thermal springs, Biedermeier architecture, and proximity to Vienna.
E246180 NE FINISHED

How this triple was built (4 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: Baden bei Wien | Statement: [Lower Austria, contains, Baden bei Wien]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baden bei Wien
Context triple: [Lower Austria, contains, Baden bei Wien]
  • A. Wiener Neustadt
    Wiener Neustadt is a historic city in Lower Austria known as a former imperial residence and military stronghold south of Vienna.
  • B. St. Pölten
    St. Pölten is the capital city of the Austrian state of Lower Austria, known for its baroque architecture and role as a regional administrative and cultural center.
  • C. Linz
    Linz is a major Austrian city known for its industrial heritage, vibrant cultural scene, and location along the Danube River.
  • D. Salzburg
    Salzburg is a historic Austrian city on the Salzach River, renowned for its baroque architecture, Alpine setting, and as the birthplace of composer Wolfgang Amadeus Mozart.
  • E. Seibersdorf
    Seibersdorf is an Austrian town known for hosting major research and testing laboratories of the International Atomic Energy Agency.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Baden bei Wien
Triple: [Lower Austria, contains, Baden bei Wien]
Generated description
Baden bei Wien is a historic spa town in eastern Austria renowned for its thermal springs, Biedermeier architecture, and proximity to Vienna.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Baden bei Wien
Target entity description: Baden bei Wien is a historic spa town in eastern Austria renowned for its thermal springs, Biedermeier architecture, and proximity to Vienna.
  • A. Wiener Neustadt
    Wiener Neustadt is a historic city in Lower Austria known as a former imperial residence and military stronghold south of Vienna.
  • B. St. Pölten
    St. Pölten is the capital city of the Austrian state of Lower Austria, known for its baroque architecture and role as a regional administrative and cultural center.
  • C. Linz
    Linz is a major Austrian city known for its industrial heritage, vibrant cultural scene, and location along the Danube River.
  • D. Salzburg
    Salzburg is a historic Austrian city on the Salzach River, renowned for its baroque architecture, Alpine setting, and as the birthplace of composer Wolfgang Amadeus Mozart.
  • E. Seibersdorf
    Seibersdorf is an Austrian town known for hosting major research and testing laboratories of the International Atomic Energy Agency.
  • F. None of above. chosen

Provenance (5 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_69a8891a19508190a12ef1e192308dcb completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb9a9ce548190a5a3488fafb2e79e completed March 7, 2026, 5:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae652a87748190b9e18356ffb13bed completed March 9, 2026, 6:14 a.m.
NEDg Description generation batch_69ae669aa29c81909770cd69d27c274c completed March 9, 2026, 6:20 a.m.
NED2 Entity disambiguation (via description) batch_69ae66fb7f1c8190b2bc306f06c423f1 completed March 9, 2026, 6:21 a.m.
Created at: March 4, 2026, 7:40 p.m.