Triple

T18063992
Position Surface form Disambiguated ID Type / Status
Subject Bad Buchau E432249 entity
Predicate hasFormerName P65 FINISHED
Object Buchau 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: Buchau | Statement: [Bad Buchau, hasFormerName, Buchau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buchau
Context triple: [Bad Buchau, hasFormerName, Buchau]
  • A. Buchau chosen
    Buchau is a small town in the state of Baden-Württemberg in southern Germany, known today as Bad Buchau, situated near the Federsee lake.
  • B. Buxach
    Buxach is a small river in Bavaria, Germany, that flows through the town of Memmingen.
  • C. Nassfeld
    Nassfeld is a major ski and alpine resort area in the Austrian Alps, known for its extensive slopes and modern winter sports facilities.
  • D. Gaissau
    Gaissau is a small municipality in the Austrian state of Vorarlberg, located near the Rhine River and the border with Switzerland.
  • E. Nittenau
    Nittenau is a small town in the Bavarian district of Schwandorf in Germany, situated on the River Regen and known for its historic center and surrounding natural landscapes.
  • 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_69d8b9070cac81909fa9473fb1c3f1c7 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4cce74a0c81908375e3100c7578b8 completed April 19, 2026, 12:39 p.m.
Created at: April 10, 2026, 10:26 a.m.