Triple

T11646562
Position Surface form Disambiguated ID Type / Status
Subject Leopoldstadt E276789 entity
Predicate borderedBy P224 FINISHED
Object Brigittenau E571415 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: Brigittenau | Statement: [Leopoldstadt, borderedBy, Brigittenau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brigittenau
Context triple: [Leopoldstadt, borderedBy, Brigittenau]
  • A. Brigittenau chosen
    Brigittenau is the 20th district of Vienna, Austria, known for its dense urban character and location between the Danube Canal and the Danube River.
  • B. Josefstadt
    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.
  • C. Ottakring
    Ottakring is a diverse, traditionally working-class district in western Vienna known for its multicultural atmosphere, historic brewery, and vibrant urban life.
  • 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. Döbling
    Döbling is a residential district in the northwest of Vienna, Austria, known for its vineyards, green hills, and affluent neighborhoods.
  • 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_69d6aafbb3c081908a9cdb4ecb8d981d completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a2cc8bfc8190a063cc37de9596a9 completed April 10, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee87f903c48190b9055ad4cfebb1e1 completed April 26, 2026, 9:47 p.m.
Created at: April 8, 2026, 9:39 p.m.