Triple

T2538642
Position Surface form Disambiguated ID Type / Status
Subject Prater E56329 entity
Predicate hasPart P35 FINISHED
Object Kaiserwiese
Kaiserwiese is a large open meadow within Vienna’s Prater park, commonly used for recreation, events, and public gatherings.
E276790 NE FINISHED

How this triple was built (4 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: Kaiserwiese | Statement: [Prater, hasPart, Kaiserwiese]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaiserwiese
Context triple: [Prater, hasPart, Kaiserwiese]
  • A. Ostenfelde
    Ostenfelde is a village in Germany best known as the birthplace of the influential 19th-century mathematician Karl Weierstrass.
  • B. Luitpoldhain
    Luitpoldhain is a large park in Nuremberg, Germany, historically known for its use as a major site for Nazi Party rallies and now serving as a public recreational and event space.
  • C. Königsbau
    Königsbau is a prominent wing of the Munich Residenz, built in the 19th century in a neo-classical style as royal apartments for the Bavarian kings.
  • D. Falkeplatz
    Falkeplatz is a location in Chemnitz, Germany, known for hosting cultural institutions such as the Museum Gunzenhauser.
  • E. Lustgarten
    Lustgarten is a historic public park and square on Berlin’s Museum Island, long used as a parade ground and gathering place.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kaiserwiese
Triple: [Prater, hasPart, Kaiserwiese]
Generated description
Kaiserwiese is a large open meadow within Vienna’s Prater park, commonly used for recreation, events, and public gatherings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kaiserwiese
Target entity description: Kaiserwiese is a large open meadow within Vienna’s Prater park, commonly used for recreation, events, and public gatherings.
  • A. Ostenfelde
    Ostenfelde is a village in Germany best known as the birthplace of the influential 19th-century mathematician Karl Weierstrass.
  • B. Luitpoldhain
    Luitpoldhain is a large park in Nuremberg, Germany, historically known for its use as a major site for Nazi Party rallies and now serving as a public recreational and event space.
  • C. Königsbau
    Königsbau is a prominent wing of the Munich Residenz, built in the 19th century in a neo-classical style as royal apartments for the Bavarian kings.
  • D. Falkeplatz
    Falkeplatz is a location in Chemnitz, Germany, known for hosting cultural institutions such as the Museum Gunzenhauser.
  • E. Lustgarten
    Lustgarten is a historic public park and square on Berlin’s Museum Island, long used as a parade ground and gathering place.
  • F. None of above. chosen

Provenance (5 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_69ab4a49b6508190bc467fbef4bac334 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd298fc2481908b2925bf6a06532b completed March 7, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5cfc54cc8190bb43b54f873ffa63 completed March 9, 2026, 11:51 p.m.
NEDg Description generation batch_69af5dd89fe48190a99b2bea591818cd completed March 9, 2026, 11:55 p.m.
NED2 Entity disambiguation (via description) batch_69af5e8583408190862ba4e13bf81cbd completed March 9, 2026, 11:57 p.m.
Created at: March 6, 2026, 9:47 p.m.