Triple

T13342230
Position Surface form Disambiguated ID Type / Status
Subject Majolikahaus in Vienna E317853 entity
Predicate hasRegion P285 FINISHED
Object Vienna state E279838 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: Vienna state | Statement: [Majolikahaus in Vienna, hasRegion, Vienna state]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vienna state
Context triple: [Majolikahaus in Vienna, hasRegion, Vienna state]
  • A. Vienna (state) chosen
    Vienna (state) is Austria’s smallest federal state and its capital city, serving as the country’s political, cultural, and economic center.
  • B. Austria Wien
    Austria Wien is a major Viennese football club and one of Austria’s most successful and historic teams.
  • C. Lower Austria
    Lower Austria is the northeastern federal state of Austria, known for its historic role as a frontier region of the Roman Empire and its diverse landscapes ranging from the Danube Valley to the foothills of the Alps.
  • D. Burgenland
    Burgenland is the easternmost and least populous state of Austria, known for its wine regions, flat landscapes, and proximity to Hungary.
  • E. Upper Austria
    Upper Austria is a federal state in northern Austria known for its industrial centers, scenic Alpine and lake regions, and capital city Linz on the Danube River.
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99d0379d481909a50fff31b19fed1 completed April 11, 2026, 12:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f417e4081908ab2025a313bfad1 completed May 3, 2026, 10:11 a.m.
Created at: April 9, 2026, 9:31 p.m.