Triple

T15610776
Position Surface form Disambiguated ID Type / Status
Subject Toghon Temür E375283 entity
Predicate posthumousName P744 FINISHED
Object Shundi
Shundi is the posthumous temple name of Toghon Temür, the last emperor of China’s Yuan dynasty.
 E1167020 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: Shundi | Statement: [Toghon Temür, posthumousName, Shundi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Shundi
Context triple: [Toghon Temür, posthumousName, Shundi]
  • A. Shundi
    Shundi is a fictional kingdom from Satyajit Ray’s Bengali fantasy film and stories featuring Goopy and Bagha, known for its whimsical, magical setting.
  • B. Ngandi
    Ngandi is an Aboriginal Australian language traditionally spoken by the Ngandi people of Arnhem Land in the Northern Territory.
  • C. Yali
    Yali are an indigenous Papuan people of the highlands of Indonesian New Guinea, known for their traditional stone-age farming practices, distinctive dress, and remote mountain settlements.
  • D. Dunda
    Dunda is a village located in the Uttarkashi district of the Indian state of Uttarakhand, in the Himalayan region of northern India.
  • E. Wedza
    Wedza is a rural district and township in northeastern Zimbabwe known for its agriculture and gold deposits.
  • 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: Shundi
Triple: [Toghon Temür, posthumousName, Shundi]
Generated description
Shundi is the posthumous temple name of Toghon Temür, the last emperor of China’s Yuan dynasty.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Shundi
Target entity description: Shundi is the posthumous temple name of Toghon Temür, the last emperor of China’s Yuan dynasty.
  • A. Shundi
    Shundi is a fictional kingdom from Satyajit Ray’s Bengali fantasy film and stories featuring Goopy and Bagha, known for its whimsical, magical setting.
  • B. Ngandi
    Ngandi is an Aboriginal Australian language traditionally spoken by the Ngandi people of Arnhem Land in the Northern Territory.
  • C. Yali
    Yali are an indigenous Papuan people of the highlands of Indonesian New Guinea, known for their traditional stone-age farming practices, distinctive dress, and remote mountain settlements.
  • D. Dunda
    Dunda is a village located in the Uttarkashi district of the Indian state of Uttarakhand, in the Himalayan region of northern India.
  • E. Wedza
    Wedza is a rural district and township in northeastern Zimbabwe known for its agriculture and gold deposits.
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e8024948190a6c711f2e5c2aac4 completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56d76c108190aa3cae2d7e17c301 completed May 9, 2026, 3:46 p.m.
NEDg Description generation batch_69ff57c304188190afa695ae88cf0234 completed May 9, 2026, 3:50 p.m.
NED2 Entity disambiguation (via description) batch_69ff5920436c81909addad5bb4566ae9 completed May 9, 2026, 3:56 p.m.
Created at: April 10, 2026, 4:13 a.m.