Triple

T8020359
Position Surface form Disambiguated ID Type / Status
Subject Unstrut River region E186724 entity
Predicate contains P35 FINISHED
Object Bad Kösen E192473 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: Bad Kösen | Statement: [Unstrut River region, contains, Bad Kösen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bad Kösen
Context triple: [Unstrut River region, contains, Bad Kösen]
  • A. Bad Kösen chosen
    Bad Kösen is a spa town in the German state of Saxony-Anhalt, known for its saline springs, historic graduation towers, and scenic location along the Saale River.
  • B. Kozelets
    Kozelets is an urban-type settlement in northern Ukraine, historically known as a local administrative and trading center.
  • C. Aetigkofen
    Aetigkofen is a small village and former municipality in the canton of Solothurn in Switzerland, situated in a rural area of the Bucheggberg district.
  • D. Kronsberg
    Kronsberg is a location in Germany known, among other things, as the place where former Nazi youth leader Baldur von Schirach died.
  • E. Kölzig
    Kölzig is the surname of former professional ice hockey goaltender Olie Kolzig, best known for his long NHL career with the Washington Capitals.
  • 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_69ca82ac7fc081909b1398cf025423af completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3e8d90488190b57d1e748e272061 completed March 31, 2026, 3:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc56c82824819082e93eddc40bfad1 completed March 31, 2026, 11:20 p.m.
Created at: March 30, 2026, 5:20 p.m.