Triple

T17717359
Position Surface form Disambiguated ID Type / Status
Subject Mariánské Lázně E442232 entity
Predicate GermanName P6492 FINISHED
Object Marienbad 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: Marienbad | Statement: [Mariánské Lázně, GermanName, Marienbad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marienbad
Context triple: [Mariánské Lázně, GermanName, Marienbad]
  • A. Velické pleso
    Velické pleso is a mountain glacial lake in the High Tatras of Slovakia, known for its scenic alpine setting beneath Gerlachovský štít.
  • B. Last Year at Marienbad chosen
    Last Year at Marienbad is a 1961 avant-garde French film renowned for its enigmatic narrative, dreamlike atmosphere, and innovative exploration of memory and time.
  • C. The Great Waltz
    The Great Waltz is a 1938 musical biographical film about composer Johann Strauss II, renowned for its lavish production and celebrated cinematography.
  • D. Julya
    Julya is a feminine given name, typically used as a variant spelling of Yulia.
  • E. Mengusovské plesá
    Mengusovské plesá is a group of scenic glacial mountain lakes located in the High Tatras of Slovakia, popular for hiking and alpine tourism.
  • 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_69d8b9ec79688190b86bdcef85a7b3aa completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47481663c8190a1110385e5596ab0 completed April 19, 2026, 6:21 a.m.
Created at: April 10, 2026, 10:06 a.m.