Triple

T3769877
Position Surface form Disambiguated ID Type / Status
Subject Palazzo Koch E82770 entity
Predicate namedAfter P63 FINISHED
Object Koch E52535 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: Koch | Statement: [Palazzo Koch, namedAfter, Koch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Koch
Context triple: [Palazzo Koch, namedAfter, Koch]
  • A. Koch chosen
    Koch is a German surname most famously associated with Robert Koch, the pioneering microbiologist who discovered the causative agents of tuberculosis and cholera.
  • B. Kocher
    Kocher is a Swiss surname most notably associated with Nobel Prize–winning surgeon Emil Theodor Kocher.
  • C. Kocher
    The Kocher is a river in the German state of Baden-Württemberg that flows through towns such as Aalen and Schwäbisch Hall before joining the Neckar.
  • D. Krieblowitz
    Krieblowitz was a village in Silesia (now Krobielowice, Poland) historically notable as the estate and place of death of Prussian field marshal Gebhard Leberecht von Blücher.
  • E. Kretschmann
    Kretschmann is a German surname most prominently associated with actor Thomas Kretschmann, known for his roles in international film and television.
  • 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_69ad8b207b0081909d2b48843fbd8795 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcc2f016c81909c2e3c85dbc3c259 completed March 8, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e5287908819084319b8dfa407635 completed March 14, 2026, 4:33 a.m.
Created at: March 8, 2026, 3:35 p.m.