Triple

T7280385
Position Surface form Disambiguated ID Type / Status
Subject Reinhold Messner E163131 entity
Predicate climbed P6287 FINISHED
Object Kangchenjunga E33414 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: Kangchenjunga | Statement: [Reinhold Messner, climbed, Kangchenjunga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kangchenjunga
Context triple: [Reinhold Messner, climbed, Kangchenjunga]
  • A. Kangchenjunga chosen
    Kangchenjunga is the world’s third-highest mountain, a massive peak in the eastern Himalayas on the border between Nepal and India.
  • B. Makalu
    Makalu is the fifth-highest mountain in the world, a prominent 8,485-meter peak on the border between Nepal and China known for its steep faces and challenging climbing routes.
  • C. Shishapangma
    Shishapangma is one of the world’s fourteen eight-thousanders, a major Himalayan peak located entirely within Tibet, China.
  • D. Cho Oyu
    Cho Oyu is the world’s sixth-highest mountain, an 8,188-meter peak in the Mahalangur Himal section of the Himalayas near the Nepal–China border.
  • E. Ganjshakar
    Ganjshakar is the revered Sufi saint Baba Farid’s honorific title, signifying him as a spiritual figure of great sanctity and generosity in the Chishti tradition.
  • 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_69c6885c5964819085b209701769877f completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eb339b1081909f648864e210f98e completed March 27, 2026, 8:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7e532a7f08190a5c0b1167dc0be44 completed March 28, 2026, 2:26 p.m.
Created at: March 27, 2026, 2:59 p.m.