Triple

T22628720
Position Surface form Disambiguated ID Type / Status
Subject Cua Viet Port E558491 entity
Predicate locatedNear P294 FINISHED
Object Dong Ha City
Dong Ha City is the capital of Quang Tri Province in central Vietnam, serving as an important regional commercial and transportation hub near the coast and the former DMZ.
 E1547297 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 Ha City | Statement: [Cua Viet Port, locatedNear, Dong Ha City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dong Ha City
Context triple: [Cua Viet Port, locatedNear, Dong Ha City]
  • A. Gyeryong city
    Gyeryong city is a South Korean city in South Chungcheong Province known for its proximity to the sacred mountain Gyeryongsan and its role as a major military and administrative center.
  • B. Tong-gu
    Tong-gu is the former romanized name for Dong-gu, a central district of Busan, South Korea.
  • C. Chuncheon
    Chuncheon is a city in northeastern South Korea known for its lakes, surrounding mountains, and status as the capital of Gangwon Province.
  • D. Sanhe City
    Sanhe City is a county-level city in Hebei Province, China, located near Beijing and forming part of the Beijing–Tianjin–Hebei metropolitan region.
  • E. Chongju
    Chongju is a city in northwestern North Korea known as an administrative and transportation center in North Pyongan Province.
  • 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 Ha City
Triple: [Cua Viet Port, locatedNear, Dong Ha City]
Generated description
Dong Ha City is the capital of Quang Tri Province in central Vietnam, serving as an important regional commercial and transportation hub near the coast and the former DMZ.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dong Ha City
Target entity description: Dong Ha City is the capital of Quang Tri Province in central Vietnam, serving as an important regional commercial and transportation hub near the coast and the former DMZ.
  • A. Gyeryong city
    Gyeryong city is a South Korean city in South Chungcheong Province known for its proximity to the sacred mountain Gyeryongsan and its role as a major military and administrative center.
  • B. Tong-gu
    Tong-gu is the former romanized name for Dong-gu, a central district of Busan, South Korea.
  • C. Chuncheon
    Chuncheon is a city in northeastern South Korea known for its lakes, surrounding mountains, and status as the capital of Gangwon Province.
  • D. Sanhe City
    Sanhe City is a county-level city in Hebei Province, China, located near Beijing and forming part of the Beijing–Tianjin–Hebei metropolitan region.
  • E. Chongju
    Chongju is a city in northwestern North Korea known as an administrative and transportation center in North Pyongan Province.
  • 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_69e245467d9881908d6985bd0db7a1f1 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f16e3ed1d48190a093013d829901b9 completed April 29, 2026, 2:34 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b585911fc81908f4609be622bc663 completed May 18, 2026, 6:20 p.m.
NEDg Description generation batch_6a0b6f5b85548190bd54f5a13dd27c5d completed May 18, 2026, 7:58 p.m.
NED2 Entity disambiguation (via description) batch_6a0b706cba28819091d40e7832e61f97 completed May 18, 2026, 8:02 p.m.
Created at: April 17, 2026, 3:02 p.m.