Triple

T19514677
Position Surface form Disambiguated ID Type / Status
Subject Innere Stadt E488246 entity
Predicate contains P35 FINISHED
Object Graben (Vienna) 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: Graben (Vienna) | Statement: [Innere Stadt, contains, Graben (Vienna)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Graben (Vienna)
Context triple: [Innere Stadt, contains, Graben (Vienna)]
  • A. Graben (Vienna) chosen
    Graben (Vienna) is a famous and historic pedestrian shopping street in central Vienna, known for its elegant architecture, luxury boutiques, and prominent monuments.
  • B. St. Alban-Graben
    St. Alban-Graben is a central street in Basel, Switzerland, known for hosting major cultural institutions and serving as an important urban thoroughfare.
  • C. Schwarzer Graben
    Schwarzer Graben is a small waterway or channel in Germany located near the river island of Hasselwerder.
  • D. Graben Pestsäule
    Graben Pestsäule is a prominent Baroque plague column and religious monument located on Vienna’s Graben, commemorating victims of the Great Plague of 1679.
  • E. Frauentorgraben
    Frauentorgraben is a major street and section of the historic defensive moat encircling Nuremberg’s old town in Bavaria, Germany.
  • 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.