Triple

T1570941
Position Surface form Disambiguated ID Type / Status
Subject Lhotse E33536 entity
Predicate hasPart P35 FINISHED
Object Lhotse Shar 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 Shar | Statement: [Lhotse, hasPart, Lhotse Shar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lhotse Shar
Context triple: [Lhotse, hasPart, Lhotse Shar]
  • 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. 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.
  • C. Manaslu
    Manaslu is the eighth-highest mountain in the world, a prominent 8,000-meter peak in the Nepalese Himalayas renowned for its challenging climbing routes and dramatic ridgelines.
  • D. Dhaulagiri
    Dhaulagiri is one of the world’s highest and most prominent peaks, a massive Himalayan mountain in north-central Nepal renowned for its steep slopes and challenging climbing routes.
  • E. Masherbrum
    Masherbrum is a prominent, highly challenging peak in Pakistan’s Karakoram range, known for its dramatic pyramid shape and technical climbing routes.
  • 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_69a885f11b048190935025a035302715 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a908b836dc8190bdf3d4eda7d00dd8 completed March 5, 2026, 4:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad797d8c68819093fb2bcae0a08698 completed March 8, 2026, 1:28 p.m.
Created at: March 4, 2026, 7:27 p.m.