Triple

T10062668
Position Surface form Disambiguated ID Type / Status
Subject Emperor Gaozong of Tang E213024 entity
Predicate eraName P2938 FINISHED
Object Tiaolu
Tiaolu was a historical era name used during the reign of Emperor Gaozong of the Tang dynasty in China.
E839512 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: Tiaolu | Statement: [Emperor Gaozong of Tang, eraName, Tiaolu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tiaolu
Context triple: [Emperor Gaozong of Tang, eraName, Tiaolu]
  • A. Tuqiao
    Tuqiao is a station in Beijing that serves as the eastern terminus of the city's Batong Line metro route.
  • B. Yingtian
    Yingtian was an important early Ming dynasty capital city, historically centered around present-day Nanjing in China.
  • C. Tiant
    Tiant is a surname most notably associated with Cuban former Major League Baseball pitcher Luis Tiant, known for his distinctive delivery and success with the Boston Red Sox in the 1970s.
  • D. Yangluo
    Yangluo is a town in Wuhan, Hubei Province, China, known as an industrial and port area along the Yangtze River.
  • E. Tian
    Tian is a Chinese given name commonly used for both males and females, often associated with meanings related to "sky" or "heaven."
  • 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: Tiaolu
Triple: [Emperor Gaozong of Tang, eraName, Tiaolu]
Generated description
Tiaolu was a historical era name used during the reign of Emperor Gaozong of the Tang dynasty in China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tiaolu
Target entity description: Tiaolu was a historical era name used during the reign of Emperor Gaozong of the Tang dynasty in China.
  • A. Tuqiao
    Tuqiao is a station in Beijing that serves as the eastern terminus of the city's Batong Line metro route.
  • B. Yingtian
    Yingtian was an important early Ming dynasty capital city, historically centered around present-day Nanjing in China.
  • C. Tiant
    Tiant is a surname most notably associated with Cuban former Major League Baseball pitcher Luis Tiant, known for his distinctive delivery and success with the Boston Red Sox in the 1970s.
  • D. Yangluo
    Yangluo is a town in Wuhan, Hubei Province, China, known as an industrial and port area along the Yangtze River.
  • E. Tian
    Tian is a Chinese given name commonly used for both males and females, often associated with meanings related to "sky" or "heaven."
  • 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_69ca83977128819084084eb7d1d8c52a completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdcfd3c6bc8190a21ed3566f9c08d1 completed April 2, 2026, 2:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29a717f008190907089e1acb32361 completed April 5, 2026, 5:22 p.m.
NEDg Description generation batch_69d29b75634c819088c8ef750b1691d2 completed April 5, 2026, 5:27 p.m.
NED2 Entity disambiguation (via description) batch_69d29f5007f88190b0330d1a8c551905 completed April 5, 2026, 5:43 p.m.
Created at: March 30, 2026, 8:58 p.m.