Triple

T21301397
Position Surface form Disambiguated ID Type / Status
Subject House of Reuss E525070 entity
Predicate associatedTerritory P1103 FINISHED
Object Köstritz 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: Köstritz | Statement: [House of Reuss, associatedTerritory, Köstritz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Köstritz
Context triple: [House of Reuss, associatedTerritory, Köstritz]
  • A. Köstritz chosen
    Köstritz is a historic town in the German state of Thuringia, best known as the birthplace of composer Heinrich Schütz and for its long-standing brewing tradition.
  • B. Ködnitz
    Ködnitz is a small municipality in northern Bavaria, Germany, known for its rural character within the Franconian region.
  • C. Kreuzeck
    Kreuzeck is a mountain and popular ski area in the Bavarian Alps near Garmisch-Partenkirchen, Germany.
  • D. Köstendorf
    Köstendorf is a small Austrian municipality in the state of Salzburg, known for its rural character and proximity to the city of Salzburg.
  • E. Kreuth
    Kreuth is a Bavarian municipality in southern Germany, known for its alpine landscape and location near Lake Tegernsee in the Bavarian Alps.
  • 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_69e0b517e6748190850d6f6ddf323d69 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7385c078881908a451be1a19a64c5 completed April 21, 2026, 8:42 a.m.
Created at: April 16, 2026, 4:05 p.m.