Triple

T3542656
Position Surface form Disambiguated ID Type / Status
Subject Austrian Parliament Building E74921 entity
Predicate nearby P350 FINISHED
Object Volksgarten E288215 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: Volksgarten | Statement: [Austrian Parliament Building, nearby, Volksgarten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Volksgarten
Context triple: [Austrian Parliament Building, nearby, Volksgarten]
  • A. 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.
  • B. Georgengarten
    Georgengarten is a large English-style landscape park in Hanover, Germany, known for its expansive lawns, tree-lined avenues, and integration into the historic Herrenhausen Gardens ensemble.
  • C. Tiergarten
    Tiergarten is a large central park in Berlin known for its expansive green spaces, monuments, and cultural landmarks.
  • D. 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.
  • E. Schillerpark
    Schillerpark is a historic public park in Berlin known for its expansive lawns, tree-lined paths, and role as a popular recreational area for local residents.
  • 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_69ad85d274cc8190ab59c97298a1cfbf completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbf73c5e881909a8352512928377b completed March 8, 2026, 6:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69b432fab6d48190b13076783a62b96f completed March 13, 2026, 3:53 p.m.
Created at: March 8, 2026, 3:20 p.m.