Triple

T8369294
Position Surface form Disambiguated ID Type / Status
Subject Vietnam Railways network E197412 entity
Predicate connectsCity P4245 FINISHED
Object 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.
E727058 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: Dong Dang | Statement: [Vietnam Railways network, connectsCity, Dong Dang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dong Dang
Context triple: [Vietnam Railways network, connectsCity, Dong Dang]
  • A. Dayong
    Dayong is the former name of the city now known as Zhangjiajie in Hunan Province, China, famed for its dramatic sandstone pillar landscapes.
  • B. Duong Dong
    Duong Dong is the main town and commercial center of Phu Quoc Island in Vietnam, known for its bustling markets, beaches, and role as the island’s primary hub for tourism and services.
  • C. Giang Biên
    Giang Biên is a ward-level administrative area located within Long Biên District of Hanoi, Vietnam.
  • D. Yen Phu
    Yen Phu is a historic residential neighborhood in Hanoi, Vietnam, known for its traditional village atmosphere and scenic location along West Lake.
  • E. Chongxi
    Chongxi is the given name of Bai Chongxi, a prominent Chinese Muslim general and political figure of the Republic of China.
  • 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: Dong Dang
Triple: [Vietnam Railways network, connectsCity, Dong Dang]
Generated description
Dong Dang is a border town in northern Vietnam that serves as a key railway gateway for international train connections between Vietnam and China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dong Dang
Target entity description: Dong Dang is a border town in northern Vietnam that serves as a key railway gateway for international train connections between Vietnam and China.
  • A. Dayong
    Dayong is the former name of the city now known as Zhangjiajie in Hunan Province, China, famed for its dramatic sandstone pillar landscapes.
  • B. Duong Dong
    Duong Dong is the main town and commercial center of Phu Quoc Island in Vietnam, known for its bustling markets, beaches, and role as the island’s primary hub for tourism and services.
  • C. Giang Biên
    Giang Biên is a ward-level administrative area located within Long Biên District of Hanoi, Vietnam.
  • D. Yen Phu
    Yen Phu is a historic residential neighborhood in Hanoi, Vietnam, known for its traditional village atmosphere and scenic location along West Lake.
  • E. Chongxi
    Chongxi is the given name of Bai Chongxi, a prominent Chinese Muslim general and political figure of the Republic of China.
  • 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_69ca82f56730819080cec5d991c76f4c completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb808f7c0481909fef5834cb6e7a3e completed March 31, 2026, 8:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc7929e388190b35505378d0cf653 completed April 2, 2026, 1:34 a.m.
NEDg Description generation batch_69cdcc88ee7881909c81d55a5354cbae completed April 2, 2026, 1:55 a.m.
NED2 Entity disambiguation (via description) batch_69cdcd366df88190aefa4fe9d5d470e6 completed April 2, 2026, 1:58 a.m.
Created at: March 30, 2026, 6:01 p.m.