Triple

T9188765
Position Surface form Disambiguated ID Type / Status
Subject Khương Đình Ward E220524 entity
Predicate hasOfficialName P66 FINISHED
Object Phường Khương Đình
Phường Khương Đình is an urban administrative ward located in Thanh Xuân District of Hanoi, Vietnam.
 E785801 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 Khương Đình | Statement: [Khương Đình Ward, hasOfficialName, Phường Khương Đình]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Phường Khương Đình
Context triple: [Khương Đình Ward, hasOfficialName, Phường Khương Đình]
  • A. Phường Dịch Vọng
    Phường Dịch Vọng is an urban administrative ward located in Cầu Giấy District of 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. Thụy Khuê Ward
    Thụy Khuê Ward is an urban administrative ward located within Tây Hồ District in Hanoi, Vietnam.
  • D. Yên Phụ Ward
    Yên Phụ Ward is an urban administrative subdivision of Hanoi, Vietnam, situated along the West Lake and known for its historic village atmosphere and scenic lakeside setting.
  • E. Thanh Xuan District
    Thanh Xuan District is an urban district of Hanoi, Vietnam, known for its dense residential areas, universities, and growing commercial development.
  • 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 Khương Đình
Triple: [Khương Đình Ward, hasOfficialName, Phường Khương Đình]
Generated description
Phường Khương 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 Khương Đình
Target entity description: Phường Khương Đình is an urban administrative ward located in Thanh Xuân District of Hanoi, Vietnam.
  • A. Phường Dịch Vọng
    Phường Dịch Vọng is an urban administrative ward located in Cầu Giấy District of 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. Thụy Khuê Ward
    Thụy Khuê Ward is an urban administrative ward located within Tây Hồ District in Hanoi, Vietnam.
  • D. Yên Phụ Ward
    Yên Phụ Ward is an urban administrative subdivision of Hanoi, Vietnam, situated along the West Lake and known for its historic village atmosphere and scenic lakeside setting.
  • E. Thanh Xuan District
    Thanh Xuan District is an urban district of Hanoi, Vietnam, known for its dense residential areas, universities, and growing commercial development.
  • 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_69d065d336a081909c092230e4a46f4e completed April 4, 2026, 1:13 a.m.
NEDg Description generation batch_69d0676ea53c81908b16dfce6810f6b0 completed April 4, 2026, 1:20 a.m.
NED2 Entity disambiguation (via description) batch_69d0684c1a108190bc7fdfdced16e24c completed April 4, 2026, 1:24 a.m.
Created at: March 30, 2026, 7:24 p.m.