Triple

T4890321
Position Surface form Disambiguated ID Type / Status
Subject Eichig E109541 entity
Predicate belongsToNUTSRegion P9956 FINISHED
Object Oberfranken E45981 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: Oberfranken | Statement: [Eichig, belongsToNUTSRegion, Oberfranken]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oberfranken
Context triple: [Eichig, belongsToNUTSRegion, Oberfranken]
  • A. Oberpfalz
    Oberpfalz is a region in eastern Bavaria, Germany, known for its distinct cultural traditions, historical towns, and rich intangible heritage.
  • B. Mittelfranken
    Mittelfranken is a region in the German state of Bavaria known for its rich cultural traditions, historic cities, and significant contributions to the state's intangible cultural heritage.
  • C. Upper Franconia chosen
    Upper Franconia is a region in northern Bavaria, Germany, known for its historic towns, dense concentration of breweries, and rich Franconian cultural heritage.
  • 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. Lower Bavaria
    Lower Bavaria is an administrative region in southeastern Germany known for its rural landscapes, historic towns, and location along the Danube River.
  • 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_69bd440f71348190b99938e59fb7f9a1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e07ca10819083f80f12374544b1 completed March 20, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69beba4d76808190843622211d1eac6f completed March 21, 2026, 3:33 p.m.
Created at: March 20, 2026, 1:28 p.m.