Triple

T15586422
Position Surface form Disambiguated ID Type / Status
Subject Bogenhausen E374632 entity
Predicate partOf P40 FINISHED
Object Upper Bavaria E44191 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: Upper Bavaria | Statement: [Bogenhausen, partOf, Upper Bavaria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Upper Bavaria
Context triple: [Bogenhausen, partOf, Upper Bavaria]
  • A. Upper Bavaria chosen
    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.
  • B. Lower Bavaria
    Lower Bavaria is an administrative region in southeastern Germany known for its rural landscapes, historic towns, and location along the Danube River.
  • C. Upper Franconia
    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 Swabia
    Upper Swabia is a historic cultural and rural region in southern Germany, situated between the Swabian Alb and Lake Constance, known for its Baroque architecture, monasteries, and picturesque landscapes.
  • 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_69d85ccd575081908909b71a3f3e3a61 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e4900408190aadb48b001db4169 completed April 16, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c5166d88190ab14c7779e3e8e1f completed May 9, 2026, 3:01 p.m.
Created at: April 10, 2026, 4:11 a.m.