Triple

T7834174
Position Surface form Disambiguated ID Type / Status
Subject Nangpa La E181648 entity
Predicate connects P390 FINISHED
Object Khumbu region E591784 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: Khumbu region | Statement: [Nangpa La, connects, Khumbu region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khumbu region
Context triple: [Nangpa La, connects, Khumbu region]
  • A. Kangchenjunga region
    The Kangchenjunga region is a remote Himalayan area surrounding the world’s third-highest peak, known for its dramatic mountain landscapes, traditional villages like Ghunsa, and rich biodiversity.
  • B. Everest region chosen
    The Everest region is a high-altitude area of northeastern Nepal encompassing the world’s tallest peak, Mount Everest, and a network of Sherpa villages and trekking routes.
  • C. Langtang
    Langtang is a town in Plateau State, central Nigeria, known as the homeland of the Tarok people and for its strong tradition of producing military officers.
  • D. Tenza Valley
    Tenza Valley is a scenic inter-Andean valley in central Colombia known for its mild climate, agricultural production, and colonial-era towns.
  • E. Zanskar Valley
    Zanskar Valley is a remote, high-altitude valley in the Indian Himalayas known for its dramatic landscapes, Buddhist monasteries, and popular trekking and river-rafting 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_69ca8284a25c8190a1a20afad30da792 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb064a47648190af2ca2b336584a92 completed March 30, 2026, 11:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb5a9b7bb081909d6aa066ee064093 completed March 31, 2026, 5:24 a.m.
Created at: March 30, 2026, 4:45 p.m.