Triple

T18310926
Position Surface form Disambiguated ID Type / Status
Subject Hậu Giang E438621 entity
Predicate hasMajorCity P316 FINISHED
Object Ngã Bảy
Ngã Bảy is a city in Vietnam’s Mekong Delta region known for its waterways and role as a local commercial and transport hub.
E1317584 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: Ngã Bảy | Statement: [Hậu Giang, hasMajorCity, Ngã Bảy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ngã Bảy
Context triple: [Hậu Giang, hasMajorCity, Ngã Bảy]
  • A. Dong Dang
    Dong Dang is a border town in northern Vietnam that serves as a key railway gateway for international train connections between Vietnam and China.
  • B. Giang Biên
    Giang Biên is a ward-level administrative area located within Long Biên District of Hanoi, Vietnam.
  • C. Dayong
    Dayong is the former name of the city now known as Zhangjiajie in Hunan Province, China, famed for its dramatic sandstone pillar landscapes.
  • D. Bao Dam
    Bao Dam is a hydroelectric and flood-control dam located on the Yaque del Norte River in the Dominican Republic.
  • E. Yonglin
    Yonglin is a lesser-known Qing dynasty imperial prince, recognized primarily as a sibling of the celebrated Prince Yongqi.
  • 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: Ngã Bảy
Triple: [Hậu Giang, hasMajorCity, Ngã Bảy]
Generated description
Ngã Bảy is a city in Vietnam’s Mekong Delta region known for its waterways and role as a local commercial and transport hub.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ngã Bảy
Target entity description: Ngã Bảy is a city in Vietnam’s Mekong Delta region known for its waterways and role as a local commercial and transport hub.
  • A. Dong Dang
    Dong Dang is a border town in northern Vietnam that serves as a key railway gateway for international train connections between Vietnam and China.
  • B. Giang Biên
    Giang Biên is a ward-level administrative area located within Long Biên District of Hanoi, Vietnam.
  • C. Dayong
    Dayong is the former name of the city now known as Zhangjiajie in Hunan Province, China, famed for its dramatic sandstone pillar landscapes.
  • D. Bao Dam
    Bao Dam is a hydroelectric and flood-control dam located on the Yaque del Norte River in the Dominican Republic.
  • E. Yonglin
    Yonglin is a lesser-known Qing dynasty imperial prince, recognized primarily as a sibling of the celebrated Prince Yongqi.
  • 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_69d8b915e3e881909125d760c15d0c29 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e502180d208190ae7c4f3d0ef3dc55 completed April 19, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03bb6640e88190bed9e233fc14ecec completed May 12, 2026, 11:44 p.m.
NEDg Description generation batch_6a03bcc98f6081908d85c0f08cea8f5d completed May 12, 2026, 11:50 p.m.
NED2 Entity disambiguation (via description) batch_6a03c062f9088190aef638dfc212d283 completed May 13, 2026, 12:05 a.m.
Created at: April 10, 2026, 10:36 a.m.