Triple

T2073229
Position Surface form Disambiguated ID Type / Status
Subject Mê Linh District E44862 entity
Predicate borderedBy P224 FINISHED
Object Yên Lạc District
Yên Lạc District is a rural administrative district in Vĩnh Phúc Province in northern Vietnam.
 E276244 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: Yên Lạc District | Statement: [Mê Linh District, borderedBy, Yên Lạc District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yên Lạc District
Context triple: [Mê Linh District, borderedBy, Yên Lạc District]
  • A. Ba Vì District
    Ba Vì District is a rural district on the western outskirts of Hanoi, Vietnam, known for its mountainous landscapes, Ba Vì National Park, and cultural sites.
  • B. Vinh Thanh District
    Vinh Thanh District is a rural administrative district in Can Tho, a centrally governed city in Vietnam’s Mekong Delta region.
  • C. Văn Lâm District
    Văn Lâm District is a rural administrative district of Hưng Yên Province in northern Vietnam, located in the Red River Delta region near Hanoi.
  • D. Binh Thuy District
    Binh Thuy District is an urban district of Cần Thơ in Vietnam’s Mekong Delta, known for its historic architecture and riverside landscapes.
  • E. Cau Giay District
    Cau Giay District is an urban district of Hanoi, Vietnam, known for its rapid development, educational institutions, and growing commercial and residential areas.
  • 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: Yên Lạc District
Triple: [Mê Linh District, borderedBy, Yên Lạc District]
Generated description
Yên Lạc District is a rural administrative district in Vĩnh Phúc Province in northern Vietnam.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yên Lạc District
Target entity description: Yên Lạc District is a rural administrative district in Vĩnh Phúc Province in northern Vietnam.
  • A. Ba Vì District
    Ba Vì District is a rural district on the western outskirts of Hanoi, Vietnam, known for its mountainous landscapes, Ba Vì National Park, and cultural sites.
  • B. Vinh Thanh District
    Vinh Thanh District is a rural administrative district in Can Tho, a centrally governed city in Vietnam’s Mekong Delta region.
  • C. Văn Lâm District
    Văn Lâm District is a rural administrative district of Hưng Yên Province in northern Vietnam, located in the Red River Delta region near Hanoi.
  • D. Binh Thuy District
    Binh Thuy District is an urban district of Cần Thơ in Vietnam’s Mekong Delta, known for its historic architecture and riverside landscapes.
  • E. Cau Giay District
    Cau Giay District is an urban district of Hanoi, Vietnam, known for its rapid development, educational institutions, and growing commercial and residential areas.
  • 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_69a88916c2b48190a5ca2e9b12cad3ed completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abba101c008190840763d2f28fa8d7 completed March 7, 2026, 5:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5cbcf8dc8190a3319bdf58dce307 completed March 9, 2026, 11:50 p.m.
NEDg Description generation batch_69af5d4795288190bb09c1a928e70b3e completed March 9, 2026, 11:52 p.m.
NED2 Entity disambiguation (via description) batch_69af5dca88948190b0b195bce7126891 completed March 9, 2026, 11:54 p.m.
Created at: March 4, 2026, 7:41 p.m.