Triple

T23041960
Position Surface form Disambiguated ID Type / Status
Subject Vinh E573759 entity
Predicate hasAdministrativeDivision P747 FINISHED
Object Cửa Nam Ward
Cửa Nam Ward is an urban administrative ward within the city of Vinh in Nghệ An Province, Vietnam.
E1568976 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: Cửa Nam Ward | Statement: [Vinh, hasAdministrativeDivision, Cửa Nam Ward]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cửa Nam Ward
Context triple: [Vinh, hasAdministrativeDivision, Cửa Nam Ward]
  • A. Thụy Khuê Ward
    Thụy Khuê Ward is an urban administrative ward located within Tây Hồ District in Hanoi, Vietnam.
  • B. Phú Thượng Ward
    Phú Thượng Ward is an urban administrative subdivision of Hanoi, Vietnam, located within the city’s Tây Hồ District.
  • C. Minh Khai Ward
    Minh Khai Ward is an urban administrative subdivision of Hanoi, Vietnam, located within the central Hai Bà Trưng District.
  • D. Xuan La Ward
    Xuan La Ward is an administrative subdivision of Hanoi, Vietnam, located within the city’s Tây Hồ District.
  • E. Thanh Nhan Ward
    Thanh Nhan Ward is an urban administrative subdivision of Hanoi, Vietnam, located within the city's central Hai Ba Trung District.
  • 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: Cửa Nam Ward
Triple: [Vinh, hasAdministrativeDivision, Cửa Nam Ward]
Generated description
Cửa Nam Ward is an urban administrative ward within the city of Vinh in Nghệ An Province, Vietnam.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Cửa Nam Ward
Target entity description: Cửa Nam Ward is an urban administrative ward within the city of Vinh in Nghệ An Province, Vietnam.
  • A. Thụy Khuê Ward
    Thụy Khuê Ward is an urban administrative ward located within Tây Hồ District in Hanoi, Vietnam.
  • B. Phú Thượng Ward
    Phú Thượng Ward is an urban administrative subdivision of Hanoi, Vietnam, located within the city’s Tây Hồ District.
  • C. Minh Khai Ward
    Minh Khai Ward is an urban administrative subdivision of Hanoi, Vietnam, located within the central Hai Bà Trưng District.
  • D. Xuan La Ward
    Xuan La Ward is an administrative subdivision of Hanoi, Vietnam, located within the city’s Tây Hồ District.
  • E. Thanh Nhan Ward
    Thanh Nhan Ward is an urban administrative subdivision of Hanoi, Vietnam, located within the city's central Hai Ba Trung District.
  • 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.