Triple

T19588271
Position Surface form Disambiguated ID Type / Status
Subject Phú Vang District E470159 entity
Predicate administrativeCenter P1474 FINISHED
Object Thuận An
Thuận An is a coastal township in central Vietnam that serves as a local hub for administration, fishing, and beach tourism near Huế.
 E1385616 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: Thuận An | Statement: [Phú Vang District, administrativeCenter, Thuận An]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Thuận An
Context triple: [Phú Vang District, administrativeCenter, Thuận An]
  • A. Thuan An
    Thuan An is a rapidly developing urban town in southern Vietnam known for its industrial zones and proximity to Ho Chi Minh City.
  • B. Bien Hoa
    Bien Hoa is a major industrial city in southern Vietnam, located near Ho Chi Minh City and known for its large manufacturing zones and economic importance.
  • C. Cam Lộ
    Cam Lộ is a rural district and township in Quảng Trị Province, central Vietnam, historically significant as a strategic area during the Vietnam War.
  • D. Lao Bảo
    Lao Bảo is a border town in Quảng Trị Province, Vietnam, known as a key commercial and transit point on the route between Vietnam and Laos.
  • E. Phong Điền
    Phong Điền is a rural district of Cần Thơ in Vietnam’s Mekong Delta, known for its lush orchards and traditional floating markets.
  • 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: Thuận An
Triple: [Phú Vang District, administrativeCenter, Thuận An]
Generated description
Thuận An is a coastal township in central Vietnam that serves as a local hub for administration, fishing, and beach tourism near Huế.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Thuận An
Target entity description: Thuận An is a coastal township in central Vietnam that serves as a local hub for administration, fishing, and beach tourism near Huế.
  • A. Thuan An
    Thuan An is a rapidly developing urban town in southern Vietnam known for its industrial zones and proximity to Ho Chi Minh City.
  • B. Bien Hoa
    Bien Hoa is a major industrial city in southern Vietnam, located near Ho Chi Minh City and known for its large manufacturing zones and economic importance.
  • C. Cam Lộ
    Cam Lộ is a rural district and township in Quảng Trị Province, central Vietnam, historically significant as a strategic area during the Vietnam War.
  • D. Lao Bảo
    Lao Bảo is a border town in Quảng Trị Province, Vietnam, known as a key commercial and transit point on the route between Vietnam and Laos.
  • E. Phong Điền
    Phong Điền is a rural district of Cần Thơ in Vietnam’s Mekong Delta, known for its lush orchards and traditional floating markets.
  • 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_69d8e510024481908415c0d616fa6186 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e64052f61c81908bb49927d4246030 completed April 20, 2026, 3:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a075f12fe008190bf2aaf7c63c44467 completed May 15, 2026, 5:59 p.m.
NEDg Description generation batch_6a0760583b588190b8f648acc26bc1ae completed May 15, 2026, 6:05 p.m.
NED2 Entity disambiguation (via description) batch_6a0761223cc081908e08a33eda54d222 completed May 15, 2026, 6:08 p.m.
Created at: April 10, 2026, 1:43 p.m.