Triple

T9249571
Position Surface form Disambiguated ID Type / Status
Subject Nahe E222286 entity
Predicate hasSubregion P285 FINISHED
Object Bad Sobernheim area E608215 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: Bad Sobernheim area | Statement: [Nahe, hasSubregion, Bad Sobernheim area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bad Sobernheim area
Context triple: [Nahe, hasSubregion, Bad Sobernheim area]
  • A. Schweinfurt region
    The Schweinfurt region is an area in northern Bavaria, Germany, centered around the city of Schweinfurt and known for its Franconian cultural and historical heritage.
  • B. Bad Soden am Taunus
    Bad Soden am Taunus is a spa town in Hesse, Germany, known for its mineral springs and location on the slopes of the Taunus mountains near Frankfurt.
  • C. Bayreuth district
    Bayreuth district is a rural administrative district in northern Bavaria, Germany, surrounding but not including the city of Bayreuth.
  • D. Kaiserslautern region chosen
    The Kaiserslautern region is an area in the German state of Rhineland-Palatinate known for its city of Kaiserslautern, surrounding rural districts, and strong football and military presence.
  • E. Darmstadt region
    The Darmstadt region is an administrative district (Regierungsbezirk) in the German state of Hesse that encompasses major cities and industrial centers in the south of the state.
  • 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_69ca841d2b18819089f9faf5b2c2aec0 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd05f7e9848190939f9199d0c1a572 completed April 1, 2026, 11:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d077fed7888190a5d36bc2ee4c2bd2 completed April 4, 2026, 2:31 a.m.
Created at: March 30, 2026, 7:31 p.m.