Triple

T20555992
Position Surface form Disambiguated ID Type / Status
Subject Munich Spring Festival E504721 entity
Predicate locatedIn P40 FINISHED
Object Theresienwiese 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: Theresienwiese | Statement: [Munich Spring Festival, locatedIn, Theresienwiese]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Theresienwiese
Context triple: [Munich Spring Festival, locatedIn, Theresienwiese]
  • A. Theresienwiese chosen
    Theresienwiese is a large open space in Munich, Germany, best known as the traditional site of the annual Oktoberfest beer festival.
  • B. Hannover Fairground
    Hannover Fairground is one of the world’s largest and most advanced exhibition complexes, renowned for hosting major international trade fairs and industrial technology events.
  • C. Hansaplatz
    Hansaplatz is a Berlin U-Bahn station on the U9 line located in the Hansaviertel district of the city.
  • D. Mauerpark
    Mauerpark is a popular public park and cultural hotspot in Berlin, known for its lively flea market, street performances, and open-air karaoke.
  • E. Cannstatter Volksfest
    Cannstatter Volksfest is a major annual beer and folk festival in Stuttgart, Germany, renowned as one of the largest and most popular festivals in the country.
  • 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_69e0b4b52c048190952b4d0f430813a3 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a5dd02588190abddfcb868259a38 completed April 20, 2026, 10:17 p.m.
Created at: April 16, 2026, 11:38 a.m.