Triple

T8657428
Position Surface form Disambiguated ID Type / Status
Subject Schwandorf E205455 entity
Predicate locatedInPartOfCountry P40 FINISHED
Object eastern Bavaria E230483 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: eastern Bavaria | Statement: [Schwandorf, locatedInPartOfCountry, eastern Bavaria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: eastern Bavaria
Context triple: [Schwandorf, locatedInPartOfCountry, eastern Bavaria]
  • A. eastern Bavaria chosen
    Eastern Bavaria is a region in southeastern Germany encompassing parts of Bavaria near the Czech border, known for its forests, rivers, and historic towns.
  • B. northern Bavaria
    Northern Bavaria is the geographically and culturally distinct northern part of the German state of Bavaria, encompassing regions such as Franconia.
  • C. 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.
  • D. Lower Bavaria
    Lower Bavaria is an administrative region in southeastern Germany known for its rural landscapes, historic towns, and location along the Danube River.
  • 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_69ca8350897c819086cde7596fbe5fe7 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc486d576081908ad28749c7971432 completed March 31, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69ceccec941881908263cd3205f10ccd completed April 2, 2026, 8:09 p.m.
Created at: March 30, 2026, 6:30 p.m.