Triple

T8529066
Position Surface form Disambiguated ID Type / Status
Subject Makalu II E201895 entity
Predicate hasAlternativeSpelling P457 FINISHED
Object Kangchuntse E179310 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: Kangchuntse | Statement: [Makalu II, hasAlternativeSpelling, Kangchuntse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kangchuntse
Context triple: [Makalu II, hasAlternativeSpelling, Kangchuntse]
  • A. Kangchungtse chosen
    Kangchungtse is a high Himalayan subpeak of Mount Makalu located on the Nepal–Tibet border.
  • B. Ang Lhamu
    Ang Lhamu was the wife of famed Sherpa mountaineer Tenzing Norgay, who helped make history with the first confirmed ascent of Mount Everest.
  • C. Gyalshing
    Gyalshing is a town in the Indian state of Sikkim that serves as an important local commercial and administrative center in the region.
  • D. Rgyalrong
    Rgyalrong is a group of closely related Sino-Tibetan languages spoken primarily in western Sichuan, China, known for their complex morphology and conservative phonological features.
  • E. Nyainqêntanglha Feng
    Nyainqêntanglha Feng is a prominent high mountain peak in Tibet, China, known for its dramatic glaciated slopes and significance within the eastern Transhimalayan range.
  • 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_69ca83228b24819085d22e7dc99f5d94 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe67409f08190b20d13d26e9a362c completed March 31, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea854e8c881909c62b29d999edde8 completed April 2, 2026, 5:33 p.m.
Created at: March 30, 2026, 6:17 p.m.