Triple

T9188862
Position Surface form Disambiguated ID Type / Status
Subject Thượng Đình Ward E220528 entity
Predicate nativeName P15 FINISHED
Object Phường Thượng Đình
Phường Thượng Đình is an urban administrative ward located in Thanh Xuân District of Hanoi, Vietnam.
 E786728 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: Phường Thượng Đình | Statement: [Thượng Đình Ward, nativeName, Phường Thượng Đình]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Phường Thượng Đình
Context triple: [Thượng Đình Ward, nativeName, Phường Thượng Đình]
  • A. Phường Khương Đình
    Phường Khương Đình is an urban administrative ward located in Thanh Xuân District of Hanoi, Vietnam.
  • B. Phường Dịch Vọng
    Phường Dịch Vọng is an urban administrative ward located in Cầu Giấy District of Hanoi, Vietnam.
  • C. Phú Thượng Ward
    Phú Thượng Ward is an urban administrative subdivision of Hanoi, Vietnam, located within the city’s Tây Hồ District.
  • D. Phường Ngô Thì Nhậm
    Phường Ngô Thì Nhậm is an urban administrative ward in Vietnam, forming part of a larger city-level municipality.
  • E. Cầu Giấy District
    Cầu Giấy District is an urban district of Hanoi, Vietnam, known for its rapid development, universities, and growing commercial and residential areas.
  • 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: Phường Thượng Đình
Triple: [Thượng Đình Ward, nativeName, Phường Thượng Đình]
Generated description
Phường Thượng Đình is an urban administrative ward located in Thanh Xuân District of Hanoi, Vietnam.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Phường Thượng Đình
Target entity description: Phường Thượng Đình is an urban administrative ward located in Thanh Xuân District of Hanoi, Vietnam.
  • A. Phường Khương Đình
    Phường Khương Đình is an urban administrative ward located in Thanh Xuân District of Hanoi, Vietnam.
  • B. Phường Dịch Vọng
    Phường Dịch Vọng is an urban administrative ward located in Cầu Giấy District of Hanoi, Vietnam.
  • C. Phú Thượng Ward
    Phú Thượng Ward is an urban administrative subdivision of Hanoi, Vietnam, located within the city’s Tây Hồ District.
  • D. Phường Ngô Thì Nhậm
    Phường Ngô Thì Nhậm is an urban administrative ward in Vietnam, forming part of a larger city-level municipality.
  • E. Cầu Giấy District
    Cầu Giấy District is an urban district of Hanoi, Vietnam, known for its rapid development, universities, and growing commercial and residential areas.
  • 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_69ca83e6d77c81909862b7afef56b1bf completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccc31d91d48190b8b8874e09c84404 completed April 1, 2026, 7:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69d077797be081908300a5baa0041ce5 completed April 4, 2026, 2:29 a.m.
NEDg Description generation batch_69d078c3d0348190abc0f4108e4f8192 completed April 4, 2026, 2:34 a.m.
NED2 Entity disambiguation (via description) batch_69d07923bef48190a6c949d4fedc1342 completed April 4, 2026, 2:36 a.m.
Created at: March 30, 2026, 7:24 p.m.