Triple

T1598259
Position Surface form Disambiguated ID Type / Status
Subject Cho Oyu E34332 entity
Predicate nearPass P20119 FINISHED
Object Nangpa La pass E181648 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: Nangpa La pass | Statement: [Cho Oyu, nearPass, Nangpa La pass]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nangpa La pass
Context triple: [Cho Oyu, nearPass, Nangpa La pass]
  • A. Nangpa La chosen
    Nangpa La is a high mountain pass in the Himalayas that historically served as a key trade and pilgrimage route between Tibet and Nepal.
  • B. Salang Pass
    Salang Pass is a high mountain pass in Afghanistan that serves as a crucial transport route through the Hindu Kush, linking the capital Kabul with the country's northern regions.
  • C. Theodul Pass
    Theodul Pass is a high mountain pass in the Alps that connects Switzerland and Italy near the Matterhorn, serving as an important historical and hiking route across the Pennine Alps.
  • D. Lowari Pass
    Lowari Pass is a high mountain pass in northern Pakistan that connects the Chitral region with the rest of Khyber Pakhtunkhwa through the Hindu Kush range.
  • E. Karakoram Pass
    Karakoram Pass is a high mountain pass in the Karakoram Range that historically served as a key trade route between the Indian subcontinent and Central Asia.
  • 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_69a885fdcb9c819081ce6f0b8cd477dd completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9092f5f148190b987bc943e89e29c completed March 5, 2026, 4:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad51b9c6588190810ede38d9e714e2 completed March 8, 2026, 10:38 a.m.
Created at: March 4, 2026, 7:27 p.m.