Triple

T9553550
Position Surface form Disambiguated ID Type / Status
Subject Eastern Bavaria E230483 entity
Predicate contains P35 FINISHED
Object Bayerisch Eisenstein E320180 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: Bayerisch Eisenstein | Statement: [Eastern Bavaria, contains, Bayerisch Eisenstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bayerisch Eisenstein
Context triple: [Eastern Bavaria, contains, Bayerisch Eisenstein]
  • A. Bayerisch Eisenstein chosen
    Bayerisch Eisenstein is a Bavarian village in the Bavarian Forest known for its unique railway station that straddles the German-Czech border and serves as a key cross-border transit point.
  • B. Bad Füssing
    Bad Füssing is a German spa town in Bavaria renowned for its thermal baths and health tourism.
  • C. Bad Aussee
    Bad Aussee is a historic spa town in Austria’s Salzkammergut region, known for its alpine scenery, salt-mining heritage, and traditional Austrian culture.
  • D. Bad Schönau
    Bad Schönau is a small spa town in Lower Austria known for its therapeutic mineral springs and tranquil rural setting.
  • E. Olbernhau
    Olbernhau is a town in Germany’s Ore Mountains renowned for its traditional woodcraft industry, especially the production of Schwibbogen candle arches and other Christmas decorations.
  • 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_69ca847d3be8819099c9dad2a7e786f1 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd99217de48190b528e14fd02ee987 completed April 1, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1528bd99881909e3f51472a99917f completed April 4, 2026, 6:03 p.m.
Created at: March 30, 2026, 8:02 p.m.