Triple

T19514706
Position Surface form Disambiguated ID Type / Status
Subject Innere Stadt E488246 entity
Predicate borderedBy P224 FINISHED
Object Josefstadt NE NERFINISHED

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: Josefstadt | Statement: [Innere Stadt, borderedBy, Josefstadt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Josefstadt
Context triple: [Innere Stadt, borderedBy, Josefstadt]
  • A. Josefstadt chosen
    Josefstadt is Vienna’s compact eighth district, known for its historic architecture, cultural venues, and central residential character just northwest of the city’s historic core.
  • B. Brigittenau
    Brigittenau is the 20th district of Vienna, Austria, known for its dense urban character and location between the Danube Canal and the Danube River.
  • C. Donaustadt
    Donaustadt is the 22nd district of Vienna, Austria, known for its extensive residential areas, modern developments, and the location of the Vienna International Centre.
  • D. Rudolfsheim
    Rudolfsheim is a district in Vienna, Austria, historically known as a working-class area that later became part of the city’s 15th district, Rudolfsheim-Fünfhaus.
  • E. Meidling
    Meidling is a residential and historically working-class district in the southwest of Vienna, Austria, known for its dense urban fabric and good public transport connections.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8da8bec819081f400199491ccc3 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6359a7070819099d925447c80bf23 completed April 20, 2026, 2:18 p.m.
Created at: April 10, 2026, 1:40 p.m.