Triple

T4776647
Position Surface form Disambiguated ID Type / Status
Subject Weil im Schönbuch E106065 entity
Predicate locatedIn P40 FINISHED
Object Swabia E64457 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: Swabia | Statement: [Weil im Schönbuch, locatedIn, Swabia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Swabia
Context triple: [Weil im Schönbuch, locatedIn, Swabia]
  • A. Swabia (Bavaria) chosen
    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.
  • B. Franconia
    Franconia is a historical region in northern Bavaria, Germany, known for its medieval towns, rich cultural heritage, and distinct Franconian identity within the German-speaking world.
  • C. Franconia
    Franconia is a suburban community in Fairfax County, Northern Virginia, known for its residential neighborhoods and proximity to Washington, D.C.
  • D. Duchy of Swabia
    The Duchy of Swabia was a major medieval stem duchy in southwestern Germany that played a key role in the politics and dynastic struggles of the Holy Roman Empire.
  • E. Bavaria
    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.
  • 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_69bd43f3074c8190937e7b0a457fe9f1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6585bf088190a7847241c8868bf6 completed March 20, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69be43c6d7848190b998eee680149d6f completed March 21, 2026, 7:07 a.m.
Created at: March 20, 2026, 1:21 p.m.