Triple

T6582412
Position Surface form Disambiguated ID Type / Status
Subject Murnau – Street with Women E157328 entity
Predicate region depicted P38668 FINISHED
Object Bavaria E7752 NE FINISHED

How this triple was built (3 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: Bavaria | Statement: [Murnau – Street with Women, region depicted, Bavaria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bavaria
Context triple: [Murnau – Street with Women, region depicted, Bavaria]
  • A. Bavaria chosen
    Bavaria is a historic region and federal state in southeastern Germany, known for its distinct cultural traditions, large size and population, and major cities such as Munich.
  • B. Swabia (Bavaria)
    Swabia (Bavaria) is an administrative region in southwestern Bavaria, Germany, known for its distinct Swabian cultural heritage and mix of industrial cities and rural landscapes.
  • C. Saxony
    Saxony is a historic region and former kingdom in eastern Germany, known for its cultural centers like Dresden and Leipzig and its significant role in Central European history.
  • D. Pfalz
    Pfalz is a major wine-producing region in southwestern Germany known for its diverse vineyards and high-quality white wines.
  • E. Saarland
    Saarland is a small federal state in southwestern Germany known for its industrial history, Franco-German cultural influences, and location along the borders with France and Luxembourg.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: region depicted
Context triple: [Murnau – Street with Women, region depicted, Bavaria]
  • A. represented region chosen
    Indicates that one entity serves as a symbolic or formal depiction of a specific geographic or spatial area.
  • B. region1
    Indicates that one entity is the first or primary region associated with, containing, or encompassing another entity.
  • C. mentionsRegion
    Indicates that one entity explicitly refers to or cites a specific geographic region in its content or context.
  • D. regionSub
    Indicates that one region is a subregion or contained part of another, larger region.
  • E. arealRegion
    Indicates that something occupies or pertains to a specific two-dimensional geographic or spatial area.
  • F. None of above.

Provenance (4 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_69c6882b3a108190b3a9eb343ae4162c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6c07cdf048190945ca5810fb1de88 completed March 27, 2026, 5:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e40e173c819081b4f0ebcd136e6f completed March 27, 2026, 8:09 p.m.
PD Predicate disambiguation batch_69c6acfb462481909cb7aff5af4bca9d completed March 27, 2026, 4:14 p.m.
Created at: March 27, 2026, 1:54 p.m.