Triple

T10985830
Position Surface form Disambiguated ID Type / Status
Subject Eggenfelden E259626 entity
Predicate region P40 FINISHED
Object Niederbayern E45432 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: Niederbayern | Statement: [Eggenfelden, region, Niederbayern]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Niederbayern
Context triple: [Eggenfelden, region, Niederbayern]
  • A. Oberpfalz
    Oberpfalz is a region in eastern Bavaria, Germany, known for its distinct cultural traditions, historical towns, and rich intangible heritage.
  • B. Bavaria and Carinthia
    Bavaria and Carinthia are neighboring regions of Germany and Austria, respectively, that meet along a portion of the Germany–Austria border.
  • C. 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.
  • D. 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.
  • E. Lower Bavaria chosen
    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_69d6aa895f4c8190887a15460ef622f4 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d787b2e4a88190a81504eee77e2298 completed April 9, 2026, 11:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69e344e9c66c81909163cea6aa9276e0 completed April 18, 2026, 8:46 a.m.
Created at: April 8, 2026, 9:24 p.m.