Triple

T4306778
Position Surface form Disambiguated ID Type / Status
Subject Cần Thơ E99971 entity
Predicate formerName P65 FINISHED
Object Tây Đô
Tây Đô is the historical name of Cần Thơ, a major city and economic hub in Vietnam’s Mekong Delta region.
 E429180 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: Tây Đô | Statement: [Cần Thơ, formerName, Tây Đô]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tây Đô
Context triple: [Cần Thơ, formerName, Tây Đô]
  • A. Ngã Tư Sở
    Ngã Tư Sở is a major traffic junction and commercial hub in southwestern Hanoi, Vietnam, connecting several key urban districts.
  • B. Đông Đô
    Đông Đô was a historical name for the city now known as Hanoi, which has long served as a major political and cultural center of Vietnam.
  • C. Luyang
    Luyang is a historic name associated with the city of Hefei, the capital of Anhui Province in eastern China.
  • D. Tam Phủ
    Tam Phủ is a major cult within Vietnamese folk religion that venerates a trinity of Mother Goddesses associated with the heavens, waters, and forests, forming a core part of the Đạo Mẫu (Mother Goddess) tradition.
  • E. Ngọc Thụy
    Ngọc Thụy is a ward-level administrative area located within Long Biên 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: Tây Đô
Triple: [Cần Thơ, formerName, Tây Đô]
Generated description
Tây Đô is the historical name of Cần Thơ, a major city and economic hub in Vietnam’s Mekong Delta region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tây Đô
Target entity description: Tây Đô is the historical name of Cần Thơ, a major city and economic hub in Vietnam’s Mekong Delta region.
  • A. Ngã Tư Sở
    Ngã Tư Sở is a major traffic junction and commercial hub in southwestern Hanoi, Vietnam, connecting several key urban districts.
  • B. Đông Đô
    Đông Đô was a historical name for the city now known as Hanoi, which has long served as a major political and cultural center of Vietnam.
  • C. Luyang
    Luyang is a historic name associated with the city of Hefei, the capital of Anhui Province in eastern China.
  • D. Tam Phủ
    Tam Phủ is a major cult within Vietnamese folk religion that venerates a trinity of Mother Goddesses associated with the heavens, waters, and forests, forming a core part of the Đạo Mẫu (Mother Goddess) tradition.
  • E. Ngọc Thụy
    Ngọc Thụy is a ward-level administrative area located within Long Biên 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_69b345528ebc8190b5abc7e95094792d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b350bb78cc8190a850aca47d8711cf completed March 12, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c756809c8190af90c91ec7883e55 completed March 14, 2026, 8:38 p.m.
NEDg Description generation batch_69b5c804f3f881908dd2d020d07c4859 completed March 14, 2026, 8:41 p.m.
NED2 Entity disambiguation (via description) batch_69b5c84e48b8819080571f995d8baf13 completed March 14, 2026, 8:42 p.m.
Created at: March 12, 2026, 11:09 p.m.