Triple

T8995933
Position Surface form Disambiguated ID Type / Status
Subject Coburg E214909 entity
Predicate locatedIn P40 FINISHED
Object northern Bavaria E233146 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: northern Bavaria | Statement: [Coburg, locatedIn, northern Bavaria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: northern Bavaria
Context triple: [Coburg, locatedIn, northern Bavaria]
  • A. northern Bavaria chosen
    Northern Bavaria is the geographically and culturally distinct northern part of the German state of Bavaria, encompassing regions such as Franconia.
  • B. southern Bavaria
    Southern Bavaria is a region in the southern part of the German state of Bavaria, known for its Alpine landscapes, lakes, and traditional Bavarian culture.
  • C. eastern Bavaria
    Eastern Bavaria is a region in southeastern Germany encompassing parts of Bavaria near the Czech border, known for its forests, rivers, and historic towns.
  • D. Upper Bavaria
    Upper Bavaria is a southeastern administrative region of Germany known for including the city of Munich, the Bavarian Alps, and many of the state’s most famous cultural and natural landmarks.
  • E. Oberpfalz
    Oberpfalz is a region in eastern Bavaria, Germany, known for its distinct cultural traditions, historical towns, and rich intangible heritage.
  • 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_69ca83a05c608190bdfdbdb25e994b39 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc68df33c48190a5017426e59c0bc4 completed April 1, 2026, 12:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd0d586c881909090b424f6fd036f completed April 3, 2026, 2:38 p.m.
Created at: March 30, 2026, 7:04 p.m.