Triple

T7864965
Position Surface form Disambiguated ID Type / Status
Subject Himadri E182592 entity
Predicate hasPeak P8205 FINISHED
Object Kanchenjunga 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: Kanchenjunga | Statement: [Himadri, hasPeak, Kanchenjunga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kanchenjunga
Context triple: [Himadri, hasPeak, Kanchenjunga]
  • 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. 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.
  • D. Shkhara
    Shkhara is a prominent peak in the Greater Caucasus mountain range, known as one of the highest and most challenging mountains in the region.
  • E. Makalu massif
    Makalu massif is the high, glaciated mountain group in the Himalayas dominated by Makalu, the world’s fifth-highest peak, and its surrounding subsidiary summits and ridges.
  • 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_69ca82894d9081908a832bfce71a4714 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb36c0eaa48190a0df4c37c726546e completed March 31, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69cf275f49f48190ad92d5aaebaac4d0 completed April 3, 2026, 2:35 a.m.
Created at: March 30, 2026, 4:54 p.m.