Triple

T19502941
Position Surface form Disambiguated ID Type / Status
Subject State of Vietnam E487947 entity
Predicate primeMinister P307 FINISHED
Object Bửu Lộc
Bửu Lộc was a Vietnamese politician who served as prime minister of the State of Vietnam during the early 1950s in the period of French decolonization.
E1380848 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: Bửu Lộc | Statement: [State of Vietnam, primeMinister, Bửu Lộc]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bửu Lộc
Context triple: [State of Vietnam, primeMinister, Bửu Lộc]
  • A. Phúc Lợi
    Phúc Lợi is a ward-level administrative subdivision located within Long Biên District of Hanoi, Vietnam.
  • B. Thiên Phúc
    Thiên Phúc was the era name proclaimed by Emperor Lê Hoàn of Đại Cồ Việt, marking a specific reign period in early Vietnamese history.
  • C. Vạn Phúc
    Vạn Phúc is a locality in Vietnam best known for its traditional silk weaving village and long-standing textile craftsmanship.
  • D. Hoa Hao
    Hoa Hao is a Vietnamese Buddhist reform movement known for its simple, rural-focused practice, strong ethical emphasis, and significant following among Vietnamese communities both in Vietnam and abroad.
  • E. Vĩnh Thụy
    Vĩnh Thụy, better known as Bảo Đại, was the last emperor of the Nguyễn dynasty and the final monarch of Vietnam.
  • 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: Bửu Lộc
Triple: [State of Vietnam, primeMinister, Bửu Lộc]
Generated description
Bửu Lộc was a Vietnamese politician who served as prime minister of the State of Vietnam during the early 1950s in the period of French decolonization.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bửu Lộc
Target entity description: Bửu Lộc was a Vietnamese politician who served as prime minister of the State of Vietnam during the early 1950s in the period of French decolonization.
  • A. Phúc Lợi
    Phúc Lợi is a ward-level administrative subdivision located within Long Biên District of Hanoi, Vietnam.
  • B. Thiên Phúc
    Thiên Phúc was the era name proclaimed by Emperor Lê Hoàn of Đại Cồ Việt, marking a specific reign period in early Vietnamese history.
  • C. Vạn Phúc
    Vạn Phúc is a locality in Vietnam best known for its traditional silk weaving village and long-standing textile craftsmanship.
  • D. Hoa Hao
    Hoa Hao is a Vietnamese Buddhist reform movement known for its simple, rural-focused practice, strong ethical emphasis, and significant following among Vietnamese communities both in Vietnam and abroad.
  • E. Vĩnh Thụy
    Vĩnh Thụy, better known as Bảo Đại, was the last emperor of the Nguyễn dynasty and the final monarch of Vietnam.
  • 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_69d8e8d9d1c88190b01cd78b8be49384 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6350f8d888190a4809c83522933d4 completed April 20, 2026, 2:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07471bac148190afce64c270150b22 completed May 15, 2026, 4:17 p.m.
NEDg Description generation batch_6a074af26f0081908f06ede032e8840b completed May 15, 2026, 4:33 p.m.
NED2 Entity disambiguation (via description) batch_6a074b72d08c8190a3a61be6c343aab2 completed May 15, 2026, 4:36 p.m.
Created at: April 10, 2026, 1:40 p.m.