Triple

T20366497
Position Surface form Disambiguated ID Type / Status
Subject Schwarzwald-Baar-Kreis E496922 entity
Predicate hasMunicipality P847 FINISHED
Object Bräunlingen NE NERFINISHED

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: Bräunlingen | Statement: [Schwarzwald-Baar-Kreis, hasMunicipality, Bräunlingen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bräunlingen
Context triple: [Schwarzwald-Baar-Kreis, hasMunicipality, Bräunlingen]
  • A. Bräunlingen chosen
    Bräunlingen is a small historic town in the Black Forest region of Baden-Württemberg, Germany, known for its picturesque setting and traditional architecture.
  • B. Lautlingen
    Lautlingen is a village in the Zollernalb district of Baden-Württemberg, Germany, now incorporated as a district of the town of Albstadt.
  • C. Püttlingen
    Püttlingen is a small town in the Saarland region of western Germany, near the French border, known for its cross-border ties and local industrial history.
  • D. Wiesenbronn
    Wiesenbronn is a small municipality in the Franconian region of northern Bavaria, Germany, known for its winegrowing tradition and rural character.
  • E. Brüntorf
    Brüntorf is a village-level district that forms part of the town of Lemgo in the Lippe region of North Rhine-Westphalia, Germany.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4a4f9b081908a5a021919c21ccb completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67871bfdc8190948c46497cd675c9 completed April 20, 2026, 7:03 p.m.
Created at: April 16, 2026, 11:26 a.m.