Triple

T21079046
Position Surface form Disambiguated ID Type / Status
Subject Döbling E519311 entity
Predicate borders P224 FINISHED
Object Brigittenau 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: Brigittenau | Statement: [Döbling, borders, Brigittenau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brigittenau
Context triple: [Döbling, borders, 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 (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_69e0b506e59c8190849b71ed07929215 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e702d939e08190a37d7b7cc1872ad5 completed April 21, 2026, 4:53 a.m.
Created at: April 16, 2026, 2:49 p.m.