Triple

T21016803
Position Surface form Disambiguated ID Type / Status
Subject Hauenstein-Ifenthal E517698 entity
Predicate hasSettlement P1068 FINISHED
Object Hauenstein NE NERFINISHED

How this triple was built (3 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: Hauenstein | Statement: [Hauenstein-Ifenthal, hasSettlement, Hauenstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hauenstein
Context triple: [Hauenstein-Ifenthal, hasSettlement, Hauenstein]
  • A. Haldenstein
    Haldenstein is a small Swiss village in the canton of Graubünden, known in architecture circles as the longtime base of renowned architect Peter Zumthor.
  • B. Havenstein
    Havenstein is a German surname most notably associated with Rudolf Havenstein, the president of the Reichsbank during Germany’s hyperinflation period after World War I.
  • C. Hesselberg
    Hesselberg is a prominent hill in Bavaria, Germany, known as the highest elevation of the Franconian Alb region.
  • D. Hermannstein
    Hermannstein is a district of the German city of Wetzlar in the state of Hesse.
  • E. Hohnstein
    Hohnstein is a small historic town in Saxony, Germany, known for its medieval castle and scenic location in the Saxon Switzerland region.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hauenstein
Target entity description: Hauenstein is a municipality in the canton of Solothurn in Switzerland, known for its rural setting in the Jura Mountains region.
  • A. Haldenstein
    Haldenstein is a small Swiss village in the canton of Graubünden, known in architecture circles as the longtime base of renowned architect Peter Zumthor.
  • B. Havenstein
    Havenstein is a German surname most notably associated with Rudolf Havenstein, the president of the Reichsbank during Germany’s hyperinflation period after World War I.
  • C. Hesselberg
    Hesselberg is a prominent hill in Bavaria, Germany, known as the highest elevation of the Franconian Alb region.
  • D. Hermannstein
    Hermannstein is a district of the German city of Wetzlar in the state of Hesse.
  • E. Hohnstein
    Hohnstein is a small historic town in Saxony, Germany, known for its medieval castle and scenic location in the Saxon Switzerland region.
  • F. None of above. chosen

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_69e0b50262b081909bc488937145eb73 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc5968c081909ae6407199858aba completed April 21, 2026, 4:26 a.m.
Created at: April 16, 2026, 1:54 p.m.