Triple

T5064633
Position Surface form Disambiguated ID Type / Status
Subject Mount Columbia E114112 entity
Predicate firstAscendedBy P1321 FINISHED
Object Christian Kaufmann E418071 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: Christian Kaufmann | Statement: [Mount Columbia, firstAscendedBy, Christian Kaufmann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christian Kaufmann
Context triple: [Mount Columbia, firstAscendedBy, Christian Kaufmann]
  • A. Christian Kaufmann chosen
    Christian Kaufmann was a renowned Swiss mountain guide and alpinist active in the late 19th and early 20th centuries, known for numerous first ascents in the Alps and beyond.
  • B. Christian Leumann
    Christian Leumann is a Swiss chemist and academic leader who serves as the rector of the University of Bern.
  • C. Christian Zurbuchen
    Christian Zurbuchen was a mountaineer known for making the first recorded ascent of the challenging Caucasus peak Mount Ushba.
  • D. Felix Salzmann
    Felix Salzmann is an individual notable enough to be recognized as a distinguished bearer of the Salzmann surname.
  • E. Christoph Riggenbach
    Christoph Riggenbach was a Swiss architect known for designing the Kunstmuseum Basel, one of the oldest public art collections in the world.
  • 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_69bd443c0c8c81908663b77afb28e165 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7478f7988190bc0473e8af055147 completed March 20, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69beef988a0c8190a6c7898df8e94a6e completed March 21, 2026, 7:20 p.m.
Created at: March 20, 2026, 1:38 p.m.