Triple

T18135420
Position Surface form Disambiguated ID Type / Status
Subject Krzysztof Wielicki E434122 entity
Predicate climbed P6287 FINISHED
Object Nanga Parbat NE NERFINISHED

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: Nanga Parbat | Statement: [Krzysztof Wielicki, climbed, Nanga Parbat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nanga Parbat
Context triple: [Krzysztof Wielicki, climbed, Nanga Parbat]
  • A. Nanga Parbat chosen
    Nanga Parbat is one of the world’s highest and most notoriously challenging mountains, located in the western Himalayas of Pakistan.
  • B. Hathi Parbat
    Hathi Parbat is a prominent mountain peak in the Indian Himalayas known for its steep faces and challenging climbing routes near the Valley of Flowers region in Uttarakhand.
  • C. Tirich Mir
    Tirich Mir is a towering mountain peak in Pakistan’s Chitral region, renowned as the highest summit in the Hindu Kush range.
  • D. Mani Parbat
    Mani Parbat is a revered hill in Ayodhya associated with Hindu religious significance and pilgrimage.
  • E. Gasherbrum I
    Gasherbrum I is one of the world’s fourteen eight-thousanders, a major peak of the Karakoram range on the Pakistan–China border and among the highest mountains on Earth.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b909e8cc81908df4cc2b8ea6d11f completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4de0677088190aaf584882b3d74a1 completed April 19, 2026, 1:52 p.m.
Created at: April 10, 2026, 10:29 a.m.