Triple

T1570939
Position Surface form Disambiguated ID Type / Status
Subject Lhotse E33536 entity
Predicate hasPart P35 FINISHED
Object Lhotse Main 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 Main | Statement: [Lhotse, hasPart, Lhotse Main]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lhotse Main
Context triple: [Lhotse, hasPart, Lhotse Main]
  • 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. 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.
  • C. Masherbrum
    Masherbrum is a prominent, highly challenging peak in Pakistan’s Karakoram range, known for its dramatic pyramid shape and technical climbing routes.
  • 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. 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.
  • 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_69ad680b40908190acf505992848dae9 completed March 8, 2026, 12:14 p.m.
Created at: March 4, 2026, 7:27 p.m.