Triple

T7177209
Position Surface form Disambiguated ID Type / Status
Subject Early Lê dynasty E167349 entity
Predicate eraNameUsed P2938 FINISHED
Object Ứng Thiên
Ứng Thiên was an imperial era name used during the Early Lê dynasty in Vietnamese history.
 E647399 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: Ứng Thiên | Statement: [Early Lê dynasty, eraNameUsed, Ứng Thiên]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ứng Thiên
Context triple: [Early Lê dynasty, eraNameUsed, Ứng Thiên]
  • A. Longcheng
    Longcheng was the principal royal city and political center of the Xiongnu confederation in ancient Inner Asia.
  • B. Guandu
    Guandu is a district in northern Taipei, Taiwan, known for its riverside wetlands, hot springs, and the historic Guandu Temple.
  • C. Zhizhong
    Zhizhong is a Chinese given name shared by various individuals, including historical and contemporary figures.
  • D. Lüshun
    Lüshun is a strategically important port city in northeastern China, historically known as Port Arthur and noted for its role in several major conflicts.
  • E. Jianye
    Jianye is an ancient name for the city now known as Nanjing, a historically significant capital in several Chinese dynasties.
  • 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: Ứng Thiên
Triple: [Early Lê dynasty, eraNameUsed, Ứng Thiên]
Generated description
Ứng Thiên was an imperial era name used during the Early Lê dynasty in Vietnamese history.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ứng Thiên
Target entity description: Ứng Thiên was an imperial era name used during the Early Lê dynasty in Vietnamese history.
  • A. Longcheng
    Longcheng was the principal royal city and political center of the Xiongnu confederation in ancient Inner Asia.
  • B. Guandu
    Guandu is a district in northern Taipei, Taiwan, known for its riverside wetlands, hot springs, and the historic Guandu Temple.
  • C. Zhizhong
    Zhizhong is a Chinese given name shared by various individuals, including historical and contemporary figures.
  • D. Lüshun
    Lüshun is a strategically important port city in northeastern China, historically known as Port Arthur and noted for its role in several major conflicts.
  • E. Jianye
    Jianye is an ancient name for the city now known as Nanjing, a historically significant capital in several Chinese dynasties.
  • 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_69c68889a2748190a316c5e65360361a completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e89022d48190a112c24df79ab62f completed March 27, 2026, 8:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7b92f3d748190ab2a3694420b5724 completed March 28, 2026, 11:19 a.m.
NEDg Description generation batch_69c7ba1752648190a417bdbbbf04a243 completed March 28, 2026, 11:23 a.m.
NED2 Entity disambiguation (via description) batch_69c7bada296c819094b92c0479ab8a3a completed March 28, 2026, 11:26 a.m.
Created at: March 27, 2026, 2:49 p.m.