Triple

T10790530
Position Surface form Disambiguated ID Type / Status
Subject Nam Từ Liêm District E254565 entity
Predicate contains P35 FINISHED
Object Cầu Diễn Ward
Cầu Diễn Ward is an urban administrative subdivision of Hanoi, Vietnam, located within the Nam Từ Liêm District.
 E886028 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: Cầu Diễn Ward | Statement: [Nam Từ Liêm District, contains, Cầu Diễn Ward]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cầu Diễn Ward
Context triple: [Nam Từ Liêm District, contains, Cầu Diễn Ward]
  • A. Khương Trung Ward
    Khương Trung Ward is an urban administrative subdivision located within Thanh Xuân District of Hanoi, Vietnam.
  • B. Thụy Khuê Ward
    Thụy Khuê Ward is an urban administrative ward located within Tây Hồ District in Hanoi, Vietnam.
  • C. Xuan La Ward
    Xuan La Ward is an administrative subdivision of Hanoi, Vietnam, located within the city’s Tây Hồ District.
  • D. Tứ Liên Ward
    Tứ Liên Ward is an urban administrative subdivision of Hanoi, Vietnam, located within the city’s Tây Hồ District.
  • E. Phường Khương Đình
    Phường Khương Đình is an urban administrative ward located in Thanh Xuân District of 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: Cầu Diễn Ward
Triple: [Nam Từ Liêm District, contains, Cầu Diễn Ward]
Generated description
Cầu Diễn Ward is an urban administrative subdivision of Hanoi, Vietnam, located within the Nam Từ Liêm District.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cầu Diễn Ward
Target entity description: Cầu Diễn Ward is an urban administrative subdivision of Hanoi, Vietnam, located within the Nam Từ Liêm District.
  • A. Khương Trung Ward
    Khương Trung Ward is an urban administrative subdivision located within Thanh Xuân District of Hanoi, Vietnam.
  • B. Thụy Khuê Ward
    Thụy Khuê Ward is an urban administrative ward located within Tây Hồ District in Hanoi, Vietnam.
  • C. Xuan La Ward
    Xuan La Ward is an administrative subdivision of Hanoi, Vietnam, located within the city’s Tây Hồ District.
  • D. Tứ Liên Ward
    Tứ Liên Ward is an urban administrative subdivision of Hanoi, Vietnam, located within the city’s Tây Hồ District.
  • E. Phường Khương Đình
    Phường Khương Đình is an urban administrative ward located in Thanh Xuân District of 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.