Triple

T15283019
Position Surface form Disambiguated ID Type / Status
Subject Yen Bai Province E365318 entity
Predicate contains P35 FINISHED
Object Van Yen District
Van Yen District is a rural administrative district in northern Vietnam known for its mountainous terrain and location within Yên Bái Province.
E1153920 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: Van Yen District | Statement: [Yen Bai Province, contains, Van Yen District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Van Yen District
Context triple: [Yen Bai Province, contains, Van Yen District]
  • A. Bao Yen District
    Bao Yen District is a rural administrative district located in Lào Cai Province in the mountainous northwestern region of Vietnam.
  • B. Ly Nhan District
    Ly Nhan District is a rural administrative district located in Hà Nam Province in northern Vietnam.
  • C. Thanh Liem District
    Thanh Liem District is a rural administrative district located in Hà Nam Province in northern Vietnam.
  • D. Le Thuy District
    Le Thuy District is a rural district in Quang Binh Province, Vietnam, best known as the birthplace of General Vo Nguyen Giap.
  • E. U Minh District
    U Minh District is a rural administrative district in Vietnam’s Cà Mau Province, known for its extensive peat swamp forests and proximity to U Minh National Park.
  • 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: Van Yen District
Triple: [Yen Bai Province, contains, Van Yen District]
Generated description
Van Yen District is a rural administrative district in northern Vietnam known for its mountainous terrain and location within Yên Bái Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Van Yen District
Target entity description: Van Yen District is a rural administrative district in northern Vietnam known for its mountainous terrain and location within Yên Bái Province.
  • A. Bao Yen District
    Bao Yen District is a rural administrative district located in Lào Cai Province in the mountainous northwestern region of Vietnam.
  • B. Ly Nhan District
    Ly Nhan District is a rural administrative district located in Hà Nam Province in northern Vietnam.
  • C. Thanh Liem District
    Thanh Liem District is a rural administrative district located in Hà Nam Province in northern Vietnam.
  • D. Le Thuy District
    Le Thuy District is a rural district in Quang Binh Province, Vietnam, best known as the birthplace of General Vo Nguyen Giap.
  • E. U Minh District
    U Minh District is a rural administrative district in Vietnam’s Cà Mau Province, known for its extensive peat swamp forests and proximity to U Minh National Park.
  • 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_69d85a103d9081908c1ea6c4c73ac8e3 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00e51f82081909f63d14b589d5587 completed April 15, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b39b6f88190ac9d6532e99fda31 completed May 9, 2026, 10:23 a.m.
NEDg Description generation batch_69ff0f6da7a08190a185150ac5c2b76d completed May 9, 2026, 10:41 a.m.
NED2 Entity disambiguation (via description) batch_69ff10af638c81908c8df0138de64f32 completed May 9, 2026, 10:47 a.m.
Created at: April 10, 2026, 3:15 a.m.