Triple

T10450034
Position Surface form Disambiguated ID Type / Status
Subject Lhotse E246395 entity
Predicate firstAscendedBy P1321 FINISHED
Object Fritz Luchsinger E445722 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: Fritz Luchsinger | Statement: [Lhotse, firstAscendedBy, Fritz Luchsinger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fritz Luchsinger
Context triple: [Lhotse, firstAscendedBy, Fritz Luchsinger]
  • A. Fritz Luchsinger chosen
    Fritz Luchsinger was a Swiss mountaineer best known as one of the first climbers to reach the summit of Lhotse, the world’s fourth-highest mountain.
  • B. Fritz Loerzer
    Fritz Loerzer was a German military officer and World War II Luftwaffe general.
  • C. Georg Lörner
    Georg Lörner was a high-ranking SS official and Nazi war criminal who played a key role in the administration of concentration camp economics and was later convicted at the Nuremberg Trials.
  • D. Ludwig Purtscheller
    Ludwig Purtscheller was an Austrian mountaineer and pioneering alpinist known for his significant first ascents in the Alps and Africa.
  • E. Werner Gruner
    Werner Gruner was a German engineer and weapons designer best known for creating the MG 42 general-purpose machine gun used by Nazi Germany during World War II.
  • 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fe09af04819083db42f4de4cb0a9 completed April 7, 2026, 12:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc30d72588190a1ebab7477c9e668 completed May 6, 2026, 10:39 p.m.
Created at: April 6, 2026, 12:17 p.m.