Triple

T18117213
Position Surface form Disambiguated ID Type / Status
Subject Emperor Xiaowu of Northern Wei E433636 entity
Predicate eraNameUsed P2938 FINISHED
Object Xiaochang
Xiaochang was a historical era name used during the reign of Emperor Xiaowu of the Northern Wei dynasty in early medieval China.
 E1306798 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: Xiaochang | Statement: [Emperor Xiaowu of Northern Wei, eraNameUsed, Xiaochang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Xiaochang
Context triple: [Emperor Xiaowu of Northern Wei, eraNameUsed, Xiaochang]
  • A. Xiaochang
    Xiaochang is a county in Hubei Province, China, known historically as a rural mission and teaching post where figures like Eric Liddell worked.
  • B. Chongxi
    Chongxi is the given name of Bai Chongxi, a prominent Chinese Muslim general and political figure of the Republic of China.
  • C. Yuxiang
    Yuxiang is a Chinese given name notably borne by the early 20th-century warlord and military leader Feng Yuxiang.
  • D. Yingchang
    Yingchang was a city in northern China that served as a retreat and final refuge for the last Yuan emperor, Toghon Temür, after the dynasty’s collapse.
  • E. Xingyuan
    Xingyuan was the Chinese era name used during part of Emperor Dezong of Tang’s reign in the late eighth century.
  • 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: Xiaochang
Triple: [Emperor Xiaowu of Northern Wei, eraNameUsed, Xiaochang]
Generated description
Xiaochang was a historical era name used during the reign of Emperor Xiaowu of the Northern Wei dynasty in early medieval China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Xiaochang
Target entity description: Xiaochang was a historical era name used during the reign of Emperor Xiaowu of the Northern Wei dynasty in early medieval China.
  • A. Xiaochang
    Xiaochang is a county in Hubei Province, China, known historically as a rural mission and teaching post where figures like Eric Liddell worked.
  • B. Chongxi
    Chongxi is the given name of Bai Chongxi, a prominent Chinese Muslim general and political figure of the Republic of China.
  • C. Yuxiang
    Yuxiang is a Chinese given name notably borne by the early 20th-century warlord and military leader Feng Yuxiang.
  • D. Yingchang
    Yingchang was a city in northern China that served as a retreat and final refuge for the last Yuan emperor, Toghon Temür, after the dynasty’s collapse.
  • E. Xingyuan
    Xingyuan was the Chinese era name used during part of Emperor Dezong of Tang’s reign in the late eighth century.
  • 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_69d8b90916008190a1f110bd7ced5473 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddd67a2481909d27a4a49b095f8c completed April 19, 2026, 1:51 p.m.
NED1 Entity disambiguation (via context triple) batch_6a037c40b66c819095d90006fa7ecc37 completed May 12, 2026, 7:15 p.m.
NEDg Description generation batch_6a037d8d2bc081908c23325f016e0a3d completed May 12, 2026, 7:20 p.m.
NED2 Entity disambiguation (via description) batch_6a037e38eee4819090dc733e4aa7299b completed May 12, 2026, 7:23 p.m.
Created at: April 10, 2026, 10:28 a.m.