Triple

T14835490
Position Surface form Disambiguated ID Type / Status
Subject Vienna City Hall E348818 entity
Predicate overlooks P1323 FINISHED
Object Rathauspark E969402 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: Rathauspark | Statement: [Vienna City Hall, overlooks, Rathauspark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rathauspark
Context triple: [Vienna City Hall, overlooks, Rathauspark]
  • A. Rathauspark chosen
    Rathauspark is a central Vienna public park known for its green spaces, seasonal events, and its location in front of the historic City Hall.
  • B. Stadtpark
    Stadtpark is a large, historic public park in central Vienna, Austria, known for its landscaped gardens and famous monuments such as the Johann Strauss II statue.
  • C. Doblhoffpark
    Doblhoffpark is a historic public park in Baden bei Wien, Austria, known for its extensive rose gardens, scenic ponds, and tranquil walking paths.
  • D. 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.
  • E. Görlitzer Park
    Görlitzer Park is a large, historically significant urban green space in Berlin’s Kreuzberg district, known for its diverse social scene and cultural events.
  • 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_69d822ec69008190a9232caa68836872 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded076ac9c8190a05cabec5e87d207 completed April 14, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe72a6b4388190b83bdecb217b9b18 completed May 8, 2026, 11:32 p.m.
Created at: April 10, 2026, 1:52 a.m.