Triple

T6907643
Position Surface form Disambiguated ID Type / Status
Subject Fürstengruft, Weimar E159850 entity
Predicate locatedNear P294 FINISHED
Object Weimar city center E111310 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: Weimar city center | Statement: [Fürstengruft, Weimar, locatedNear, Weimar city center]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Weimar city center
Context triple: [Fürstengruft, Weimar, locatedNear, Weimar city center]
  • A. Weimar chosen
    Weimar is a historic German city renowned as a center of culture and the arts, associated with figures like Goethe and Schiller and pivotal movements in modern design and architecture.
  • B. Frankfurt skyline
    The Frankfurt skyline is a distinctive cityscape dominated by modern high-rise towers and skyscrapers that form one of Europe’s most prominent financial and architectural hubs.
  • C. Berlin
    Berlin is a charismatic, calculating, and morally ambiguous mastermind and heist leader in the Spanish television series "Money Heist" (La Casa de Papel).
  • D. Berlin
    Berlin is the capital and largest city of Germany, historically significant as a focal point of Cold War tensions and a major cultural, political, and economic center in Europe.
  • E. Berlin
    Berlin is a major Ethereum network upgrade that introduced various gas cost optimizations and transaction processing improvements to enhance the blockchain’s efficiency and performance.
  • 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_69c68839ccb88190b4aa5cc1aca3448f completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d9bd7b3c8190842eb83679c322d5 completed March 27, 2026, 7:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7617d81288190b38a67552f228933 completed March 28, 2026, 5:05 a.m.
Created at: March 27, 2026, 2:25 p.m.