Triple

T4803398
Position Surface form Disambiguated ID Type / Status
Subject Ringstrasse, Vienna E106887 entity
Predicate hasLandmark P105 FINISHED
Object Stadtpark E348819 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: Stadtpark | Statement: [Ringstrasse, Vienna, hasLandmark, Stadtpark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stadtpark
Context triple: [Ringstrasse, Vienna, hasLandmark, Stadtpark]
  • A. Stadtpark chosen
    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.
  • B. 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.
  • C. Gellert Park
    Gellert Park is a public recreational park located in Daly City, California, offering open green spaces and community amenities for local residents.
  • D. U Kleistpark
    U Kleistpark is a Berlin U-Bahn station on line U7 located in the Schöneberg district.
  • E. Valkhof Park
    Valkhof Park is a historic public park in Nijmegen, Netherlands, known for its scenic setting overlooking the Waal River and its proximity to ancient Roman and medieval ruins.
  • 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_69bd43f6a1e08190bf0a372bfc336ee5 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6c432ad4819095106dd6e2968cfb completed March 20, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4403ef888190b41c9a0db6bf47aa completed March 21, 2026, 7:08 a.m.
Created at: March 20, 2026, 1:23 p.m.