Triple

T10450030
Position Surface form Disambiguated ID Type / Status
Subject Lhotse E246395 entity
Predicate hasSubpeak P7612 FINISHED
Object Lhotse Middle E33536 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: Lhotse Middle | Statement: [Lhotse, hasSubpeak, Lhotse Middle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lhotse Middle
Context triple: [Lhotse, hasSubpeak, Lhotse Middle]
  • A. Lhotse chosen
    Lhotse is the world’s fourth-highest mountain, located near Mount Everest in the Himalayas on the border between Nepal and the Tibet Autonomous Region of China.
  • B. Masherbrum
    Masherbrum is a prominent, highly challenging peak in Pakistan’s Karakoram range, known for its dramatic pyramid shape and technical climbing routes.
  • C. Makalu II
    Makalu II, also known as Kangchungtse, is a prominent subsidiary peak of Makalu in the Himalayas, standing over 7,500 meters and forming part of the Nepal–Tibet border.
  • D. Gyachung Kang
    Gyachung Kang is a prominent Himalayan mountain peak, one of the world’s highest, located between Nepal and China in the Mahalangur Himal range.
  • E. Lhotse massif
    Lhotse massif is a prominent Himalayan mountain group near Mount Everest, dominated by the peak of Lhotse, the world’s fourth-highest mountain.
  • 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_69e462472ed88190a76b04157c235c80 completed April 19, 2026, 5:04 a.m.
Created at: April 6, 2026, 12:17 p.m.