Triple

T10447258
Position Surface form Disambiguated ID Type / Status
Subject Lương Sơn District E246324 entity
Predicate capital P234 FINISHED
Object Lương Sơn
Lương Sơn is a township in northern Vietnam that serves as the administrative and economic center of Lương Sơn District in Hòa Bình Province.
 E863211 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: Lương Sơn | Statement: [Lương Sơn District, capital, Lương Sơn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lương Sơn
Context triple: [Lương Sơn District, capital, Lương Sơn]
  • A. Chúc Sơn
    Chúc Sơn is a township in Hanoi, Vietnam, serving as an administrative and commercial center for the surrounding rural area.
  • B. Mộc Sơn
    Mộc Sơn is one of the five famous Marble Mountains near Da Nang, Vietnam, known for its distinctive marble formations and spiritual significance.
  • C. Jiaoshan
    Jiaoshan is a scenic island and historic site in the Yangtze River near Zhenjiang, known for its ancient temples, stone inscriptions, and natural beauty.
  • D. 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.
  • E. Tây Đằng
    Tây Đằng is a township in Hanoi, Vietnam, serving as the main urban and governmental hub of Ba Vì District.
  • 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: Lương Sơn
Triple: [Lương Sơn District, capital, Lương Sơn]
Generated description
Lương Sơn is a township in northern Vietnam that serves as the administrative and economic center of Lương Sơn District in Hòa Bình Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lương Sơn
Target entity description: Lương Sơn is a township in northern Vietnam that serves as the administrative and economic center of Lương Sơn District in Hòa Bình Province.
  • A. Chúc Sơn
    Chúc Sơn is a township in Hanoi, Vietnam, serving as an administrative and commercial center for the surrounding rural area.
  • B. Mộc Sơn
    Mộc Sơn is one of the five famous Marble Mountains near Da Nang, Vietnam, known for its distinctive marble formations and spiritual significance.
  • C. Jiaoshan
    Jiaoshan is a scenic island and historic site in the Yangtze River near Zhenjiang, known for its ancient temples, stone inscriptions, and natural beauty.
  • D. 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.
  • E. Tây Đằng
    Tây Đằng is a township in Hanoi, Vietnam, serving as the main urban and governmental hub of Ba Vì District.
  • 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fdc10c8081908a3801fe1dea63de completed April 7, 2026, 12:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69d87ef4e0dc81908d7cf0f2b6f4cd98 completed April 10, 2026, 4:39 a.m.
NEDg Description generation batch_69d886c3fdcc8190a67a7f7788b8a2e8 completed April 10, 2026, 5:12 a.m.
NED2 Entity disambiguation (via description) batch_69d88dce21448190b093b4f548e29f84 completed April 10, 2026, 5:42 a.m.
Created at: April 6, 2026, 12:16 p.m.