Triple

T23041966
Position Surface form Disambiguated ID Type / Status
Subject Vinh E573759 entity
Predicate hasAdministrativeDivision P747 FINISHED
Object Quán Bàu Ward
Quán Bàu Ward is an urban administrative subdivision of the city of Vinh in Nghệ An Province, Vietnam.
 E1568981 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: Quán Bàu Ward | Statement: [Vinh, hasAdministrativeDivision, Quán Bàu Ward]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Quán Bàu Ward
Context triple: [Vinh, hasAdministrativeDivision, Quán Bàu Ward]
  • A. Da Kao Ward
    Da Kao Ward is a historic central neighborhood in Ho Chi Minh City, Vietnam, known for its French colonial architecture, cultural landmarks, and vibrant urban life.
  • B. Buoi Thi Xuan Ward
    Buoi Thi Xuan Ward is an urban administrative subdivision located within Hanoi’s central Hai Ba Trung District in Vietnam.
  • C. Cau Ong Lanh Ward
    Cau Ong Lanh Ward is an urban neighborhood-level administrative unit located within District 1 of Ho Chi Minh City, Vietnam.
  • D. Ngọc Lâm Ward
    Ngọc Lâm Ward is an urban neighborhood in Hanoi, Vietnam, serving as the central hub of administration and services for Long Biên District.
  • E. Bang Wa Depot
    Bang Wa Depot is a maintenance and stabling facility serving Bangkok’s BTS Skytrain system, supporting operations on the network’s western lines.
  • 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: Quán Bàu Ward
Triple: [Vinh, hasAdministrativeDivision, Quán Bàu Ward]
Generated description
Quán Bàu Ward is an urban administrative subdivision of the city of Vinh in Nghệ An Province, Vietnam.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Quán Bàu Ward
Target entity description: Quán Bàu Ward is an urban administrative subdivision of the city of Vinh in Nghệ An Province, Vietnam.
  • A. Da Kao Ward
    Da Kao Ward is a historic central neighborhood in Ho Chi Minh City, Vietnam, known for its French colonial architecture, cultural landmarks, and vibrant urban life.
  • B. Buoi Thi Xuan Ward
    Buoi Thi Xuan Ward is an urban administrative subdivision located within Hanoi’s central Hai Ba Trung District in Vietnam.
  • C. Cau Ong Lanh Ward
    Cau Ong Lanh Ward is an urban neighborhood-level administrative unit located within District 1 of Ho Chi Minh City, Vietnam.
  • D. Ngọc Lâm Ward
    Ngọc Lâm Ward is an urban neighborhood in Hanoi, Vietnam, serving as the central hub of administration and services for Long Biên District.
  • E. Bang Wa Depot
    Bang Wa Depot is a maintenance and stabling facility serving Bangkok’s BTS Skytrain system, supporting operations on the network’s western lines.
  • 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_69e245b9c11481909d06c872214d21af completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18513fc54819096d761a0be75b774 completed April 29, 2026, 4:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c0ad85abc8190ab6328224aa3320f completed May 19, 2026, 7:01 a.m.
NEDg Description generation batch_6a0c0f873d588190be23c0040c50024c completed May 19, 2026, 7:21 a.m.
NED2 Entity disambiguation (via description) batch_6a0c0fe69cf0819091fe545b9fdfeaca completed May 19, 2026, 7:23 a.m.
Created at: April 17, 2026, 3:54 p.m.