Triple

T7085326
Position Surface form Disambiguated ID Type / Status
Subject Gangtok E165059 entity
Predicate nearbyAttraction P3449 FINISHED
Object Nathu La Pass E541003 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: Nathu La Pass | Statement: [Gangtok, nearbyAttraction, Nathu La Pass]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nathu La Pass
Context triple: [Gangtok, nearbyAttraction, Nathu La Pass]
  • A. Nathu La Pass chosen
    Nathu La Pass is a high-altitude mountain pass on the Indo-China border in the Himalayas, known for its strategic importance and as a popular tourist destination near Gangtok in Sikkim.
  • B. Kudi Pass
    Kudi Pass is a high mountain pass in China that traverses the rugged Kunlun Mountains, serving as a challenging route between regions of the Tibetan Plateau and Xinjiang.
  • C. Bihoro Pass
    Bihoro Pass is a scenic mountain pass in Hokkaido, Japan, renowned for its panoramic views over Lake Kussharo and the surrounding volcanic landscape.
  • D. Tanggula Pass
    Tanggula Pass is a high mountain pass in the Tanggula Mountains of the Tibetan Plateau, known as one of the highest road and railway passes in the world.
  • E. Sani Pass
    Sani Pass is a high, rugged mountain pass between South Africa and Lesotho, famed for its steep, winding gravel road and dramatic Drakensberg scenery.
  • 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_69c6887d98408190912b9580666b0c1d completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e511535c819098f60de54930380f completed March 27, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79484a644819091fac0e361f77c91 completed March 28, 2026, 8:42 a.m.
Created at: March 27, 2026, 2:41 p.m.