Triple

T1583352
Position Surface form Disambiguated ID Type / Status
Subject Makalu E34016 entity
Predicate hasSubpeak P7612 FINISHED
Object Kangchungtse
Kangchungtse is a high Himalayan subpeak of Mount Makalu located on the Nepal–Tibet border.
 E179310 NE FINISHED

How this triple was built (4 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: Kangchungtse | Statement: [Makalu, hasSubpeak, Kangchungtse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kangchungtse
Context triple: [Makalu, hasSubpeak, Kangchungtse]
  • A. Kangthir
    Kangthir is the traditional council or governing body of the Karbi people, responsible for overseeing customary laws and community affairs.
  • B. Dadu
    Dadu was the Yuan dynasty capital city established by Kublai Khan on the site of present-day Beijing, serving as the political and cultural center of his empire.
  • C. Changling
    Changling is the largest and best-preserved mausoleum within Beijing’s Ming Tombs complex, built for the Yongle Emperor and his empress.
  • D. Yangchenma
    Yangchenma is a Tibetan Buddhist goddess of music, learning, and the arts, regarded as the Tibetan counterpart of the Indian deity Saraswati.
  • E. Zhenjin
    Zhenjin was the designated heir and favored son of Kublai Khan, known for his Confucian education and role in the early Yuan dynasty’s administration before his premature death.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kangchungtse
Triple: [Makalu, hasSubpeak, Kangchungtse]
Generated description
Kangchungtse is a high Himalayan subpeak of Mount Makalu located on the Nepal–Tibet border.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kangchungtse
Target entity description: Kangchungtse is a high Himalayan subpeak of Mount Makalu located on the Nepal–Tibet border.
  • A. Kangthir
    Kangthir is the traditional council or governing body of the Karbi people, responsible for overseeing customary laws and community affairs.
  • B. Dadu
    Dadu was the Yuan dynasty capital city established by Kublai Khan on the site of present-day Beijing, serving as the political and cultural center of his empire.
  • C. Changling
    Changling is the largest and best-preserved mausoleum within Beijing’s Ming Tombs complex, built for the Yongle Emperor and his empress.
  • D. Yangchenma
    Yangchenma is a Tibetan Buddhist goddess of music, learning, and the arts, regarded as the Tibetan counterpart of the Indian deity Saraswati.
  • E. Zhenjin
    Zhenjin was the designated heir and favored son of Kublai Khan, known for his Confucian education and role in the early Yuan dynasty’s administration before his premature death.
  • F. None of above. chosen

Provenance (5 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_69a885fceb2c8190b47e0f7c0aefbff0 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa61ddc9908190a4afca1c24400817 completed March 6, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad4035dd7c8190817301c0a2b0b938 completed March 8, 2026, 9:24 a.m.
NEDg Description generation batch_69ad411829fc81909f9dc88b3d55d431 completed March 8, 2026, 9:27 a.m.
NED2 Entity disambiguation (via description) batch_69ad417fa778819092ebabad8bdcddd3 completed March 8, 2026, 9:29 a.m.
Created at: March 4, 2026, 7:27 p.m.