Triple

T10790536
Position Surface form Disambiguated ID Type / Status
Subject Nam Từ Liêm District E254565 entity
Predicate contains P35 FINISHED
Object Trung Văn Ward
Trung Văn Ward is an administrative subdivision of Hanoi, Vietnam, located within the urban Nam Từ Liêm District.
 E886033 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: Trung Văn Ward | Statement: [Nam Từ Liêm District, contains, Trung Văn Ward]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Trung Văn Ward
Context triple: [Nam Từ Liêm District, contains, Trung Văn Ward]
  • A. Nghĩa Tân Ward
    Nghĩa Tân Ward is an urban residential and commercial neighborhood located within Hanoi’s Cầu Giấy District in Vietnam.
  • B. Giảng Võ Ward
    Giảng Võ Ward is an urban administrative subdivision of Hanoi, Vietnam, located within the central Ba Đình District and known for its residential areas, offices, and cultural facilities.
  • C. Nghia Do Ward
    Nghia Do Ward is an urban administrative ward located within Hanoi’s Cau Giay District in Vietnam.
  • D. Liễu Giai Ward
    Liễu Giai Ward is an urban administrative subdivision of Hanoi, Vietnam, known for its central location and mix of residential, diplomatic, and commercial areas.
  • E. Quỳnh Lôi Ward
    Quỳnh Lôi Ward is an urban administrative neighborhood located within Hai Bà Trưng District in central Hanoi, 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: Trung Văn Ward
Triple: [Nam Từ Liêm District, contains, Trung Văn Ward]
Generated description
Trung Văn Ward is an administrative subdivision of Hanoi, Vietnam, located within the urban Nam Từ Liêm District.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Trung Văn Ward
Target entity description: Trung Văn Ward is an administrative subdivision of Hanoi, Vietnam, located within the urban Nam Từ Liêm District.
  • A. Nghĩa Tân Ward
    Nghĩa Tân Ward is an urban residential and commercial neighborhood located within Hanoi’s Cầu Giấy District in Vietnam.
  • B. Giảng Võ Ward
    Giảng Võ Ward is an urban administrative subdivision of Hanoi, Vietnam, located within the central Ba Đình District and known for its residential areas, offices, and cultural facilities.
  • C. Nghia Do Ward
    Nghia Do Ward is an urban administrative ward located within Hanoi’s Cau Giay District in Vietnam.
  • D. Liễu Giai Ward
    Liễu Giai Ward is an urban administrative subdivision of Hanoi, Vietnam, known for its central location and mix of residential, diplomatic, and commercial areas.
  • E. Quỳnh Lôi Ward
    Quỳnh Lôi Ward is an urban administrative neighborhood located within Hai Bà Trưng District in central Hanoi, 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_69d6aa609f008190a294200aefcb7bd5 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d732f5b8248190a633dc44ae620a3a completed April 9, 2026, 5:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69de5637ec50819087f1a0372f89197d completed April 14, 2026, 2:59 p.m.
NEDg Description generation batch_69de5eadb9448190bdf69711394e2ab7 completed April 14, 2026, 3:35 p.m.
NED2 Entity disambiguation (via description) batch_69de607917808190922df6521d7bfb07 completed April 14, 2026, 3:42 p.m.
Created at: April 8, 2026, 9:17 p.m.