Triple

T19661630
Position Surface form Disambiguated ID Type / Status
Subject Dr.-Karl-Renner-Ring E472094 entity
Predicate borders P224 FINISHED
Object Burggarten 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: Burggarten | Statement: [Dr.-Karl-Renner-Ring, borders, Burggarten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Burggarten
Context triple: [Dr.-Karl-Renner-Ring, borders, Burggarten]
  • A. Burggarten chosen
    Burggarten is a historic public park in central Vienna, Austria, known for its landscaped gardens, statues, and proximity to the former imperial Hofburg Palace.
  • B. Hofgarten
    The Hofgarten is a historic Renaissance-style court garden in central Munich, known for its arcades, pavilions, and role as a popular public park and cultural venue.
  • C. Volksgarten
    Volksgarten is a historic public park in central Vienna renowned for its formal rose gardens, neoclassical monuments, and location along the Ringstrasse.
  • D. Augarten park
    Augarten park is a historic public park in Vienna known for its baroque gardens, tree-lined avenues, and prominent World War II flak towers.
  • E. Ochsengarten
    Ochsengarten is a small alpine village in the Tyrolean Ötztal region of Austria, known for its mountain scenery and access to hiking and skiing.
  • 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_69d8e51395348190ac1416d46dfc6db0 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e6414a667c81909aad04a737773c7e completed April 20, 2026, 3:07 p.m.
Created at: April 10, 2026, 1:45 p.m.