Triple

T19785594
Position Surface form Disambiguated ID Type / Status
Subject district of Rastatt E475255 entity
Predicate contains P35 FINISHED
Object town of Bühl 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: town of Bühl | Statement: [district of Rastatt, contains, town of Bühl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: town of Bühl
Context triple: [district of Rastatt, contains, town of Bühl]
  • A. Bühl chosen
    Bühl is a town in southwestern Germany’s Baden-Württemberg region, known for its fruit cultivation and proximity to the Black Forest.
  • B. Sonnenbühl
    Sonnenbühl is a municipality in the Swabian Alb region of Baden-Württemberg, Germany, known for its karst landscapes, caves, and outdoor recreation.
  • C. town of Lübz
    The town of Lübz is a small historic municipality in the German state of Mecklenburg-Vorpommern, known for its traditional architecture and regional brewery.
  • D. Böhlen
    Böhlen is a small town in the Leipzig district of Saxony, Germany, known for its lignite mining and power generation industries.
  • E. Melchenbühl
    Melchenbühl is a small locality within the municipality of Muri bei Bern in the canton of Bern, Switzerland.
  • 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_69d8e51b014081908b263e167370529a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65387d3348190a31f9c2f9bc1c6d9 completed April 20, 2026, 4:25 p.m.
Created at: April 10, 2026, 1:49 p.m.