Triple

T2333639
Position Surface form Disambiguated ID Type / Status
Subject Thanh Trì District E44260 entity
Predicate hasSubdivision P747 FINISHED
Object Yên Mỹ commune
Yên Mỹ commune is a local administrative unit within Thanh Trì District on the outskirts of Hanoi, Vietnam.
E255404 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 Mỹ commune | Statement: [Thanh Trì District, hasSubdivision, Yên Mỹ commune]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yên Mỹ commune
Context triple: [Thanh Trì District, hasSubdivision, Yên Mỹ commune]
  • A. Yên Mỹ District
    Yên Mỹ District is a rural administrative district in northern Vietnam’s Hưng Yên Province, situated near the capital region and characterized by agriculture and growing industrial development.
  • B. Mỹ Thành Commune
    Mỹ Thành Commune is a rural administrative subdivision located within Mỹ Đức District of Hanoi, Vietnam.
  • C. Vạn Kim Commune
    Vạn Kim Commune is a rural administrative subdivision located within Mỹ Đức District of Hanoi, Vietnam.
  • D. Lê Thanh Commune
    Lê Thanh Commune is a rural administrative subdivision located within Mỹ Đức District of Hanoi, Vietnam.
  • E. Phùng Xá Commune
    Phùng Xá Commune is a rural administrative subdivision located within Mỹ Đức District of Hanoi, Vietnam.
  • 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 Mỹ commune
Triple: [Thanh Trì District, hasSubdivision, Yên Mỹ commune]
Generated description
Yên Mỹ commune is a local administrative unit within Thanh Trì District on the outskirts of Hanoi, Vietnam.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Yên Mỹ commune
Target entity description: Yên Mỹ commune is a local administrative unit within Thanh Trì District on the outskirts of Hanoi, Vietnam.
  • A. Yên Mỹ District
    Yên Mỹ District is a rural administrative district in northern Vietnam’s Hưng Yên Province, situated near the capital region and characterized by agriculture and growing industrial development.
  • B. Mỹ Thành Commune
    Mỹ Thành Commune is a rural administrative subdivision located within Mỹ Đức District of Hanoi, Vietnam.
  • C. Vạn Kim Commune
    Vạn Kim Commune is a rural administrative subdivision located within Mỹ Đức District of Hanoi, Vietnam.
  • D. Lê Thanh Commune
    Lê Thanh Commune is a rural administrative subdivision located within Mỹ Đức District of Hanoi, Vietnam.
  • E. Phùng Xá Commune
    Phùng Xá Commune is a rural administrative subdivision located within Mỹ Đức District of Hanoi, Vietnam.
  • 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_69a889132b488190bbb43ad4780ddd92 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abc66d7ea081908867ff494b70df1e completed March 7, 2026, 6:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae8979bca08190aac46ef3dc1a2be2 completed March 9, 2026, 8:48 a.m.
NEDg Description generation batch_69ae8a4a55c4819082b10a5995395e46 completed March 9, 2026, 8:52 a.m.
NED2 Entity disambiguation (via description) batch_69ae8ae561c081908f64fb7ca43d928e completed March 9, 2026, 8:55 a.m.
Created at: March 4, 2026, 7:51 p.m.