Triple

T18458602
Position Surface form Disambiguated ID Type / Status
Subject Yesün Temür E450970 entity
Predicate templeName P44027 FINISHED
Object Taidingdi
Taidingdi is the posthumous temple name given to the Yuan dynasty emperor Yesün Temür in Chinese imperial historiography.
 E1325170 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: Taidingdi | Statement: [Yesün Temür, templeName, Taidingdi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Taidingdi
Context triple: [Yesün Temür, templeName, Taidingdi]
  • A. Tai Yai
    Tai Yai refers to the Shan people, a Tai ethnic group primarily inhabiting Myanmar’s Shan State and neighboring regions of Southeast Asia.
  • B. Takabisha
    Takabisha is a record-breaking steel roller coaster in Japan renowned for its extremely steep drop and intense thrill elements.
  • C. Taikse
    Taikse is a small village located in Järva County in central Estonia.
  • D. Taygi
    Taygi is a lesser-known Samoyedic language of the Uralic family traditionally spoken by an indigenous group in northern Siberia.
  • E. Tainaste
    Tainaste is a small settlement located in the Middle Atlas region of Morocco, near the mountain Jbel Bou Naceur.
  • 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: Taidingdi
Triple: [Yesün Temür, templeName, Taidingdi]
Generated description
Taidingdi is the posthumous temple name given to the Yuan dynasty emperor Yesün Temür in Chinese imperial historiography.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Taidingdi
Target entity description: Taidingdi is the posthumous temple name given to the Yuan dynasty emperor Yesün Temür in Chinese imperial historiography.
  • A. Tai Yai
    Tai Yai refers to the Shan people, a Tai ethnic group primarily inhabiting Myanmar’s Shan State and neighboring regions of Southeast Asia.
  • B. Takabisha
    Takabisha is a record-breaking steel roller coaster in Japan renowned for its extremely steep drop and intense thrill elements.
  • C. Taikse
    Taikse is a small village located in Järva County in central Estonia.
  • D. Taygi
    Taygi is a lesser-known Samoyedic language of the Uralic family traditionally spoken by an indigenous group in northern Siberia.
  • E. Tainaste
    Tainaste is a small settlement located in the Middle Atlas region of Morocco, near the mountain Jbel Bou Naceur.
  • 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_69d8d38345688190b565eac2e4cd7935 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e52a7c18d88190ac17f58111722223 completed April 19, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a040fe9a7748190b23d40466c3a314a completed May 13, 2026, 5:45 a.m.
NEDg Description generation batch_6a0412260e448190acf29d53559ab69d completed May 13, 2026, 5:54 a.m.
NED2 Entity disambiguation (via description) batch_6a04130734688190a2803c7037900269 completed May 13, 2026, 5:58 a.m.
Created at: April 10, 2026, 11:31 a.m.