Triple

T9382137
Position Surface form Disambiguated ID Type / Status
Subject Yên Mỹ District E225810 entity
Predicate hasUrbanTownship P22464 FINISHED
Object Yên Mỹ township
Yên Mỹ township is the administrative and commercial center of Yên Mỹ District in northern Vietnam.
 E794376 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 township | Statement: [Yên Mỹ District, hasUrbanTownship, Yên Mỹ township]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yên Mỹ township
Context triple: [Yên Mỹ District, hasUrbanTownship, Yên Mỹ township]
  • A. Vân Đình township
    Vân Đình township is an urban administrative center in Hanoi, Vietnam, serving as the capital of Ứng Hòa District.
  • B. Chi Đông Township
    Chi Đông Township is an urban administrative township serving as a local center within Mê Linh District in Hanoi, Vietnam.
  • C. Sandimen Township
    Sandimen Township is a rural, mountainous township in northern Pingtung County, Taiwan, known for its indigenous Paiwan culture and scenic landscapes.
  • D. Tehkummah Township
    Tehkummah Township is a small rural municipality located on Manitoulin Island in northeastern Ontario, Canada.
  • E. Daren Township
    Daren Township is a rural indigenous township in southern Taitung County, Taiwan, known for its mountainous landscapes and traditional Paiwan and Rukai communities.
  • 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 township
Triple: [Yên Mỹ District, hasUrbanTownship, Yên Mỹ township]
Generated description
Yên Mỹ township is the administrative and commercial center of Yên Mỹ District in northern Vietnam.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yên Mỹ township
Target entity description: Yên Mỹ township is the administrative and commercial center of Yên Mỹ District in northern Vietnam.
  • A. Vân Đình township
    Vân Đình township is an urban administrative center in Hanoi, Vietnam, serving as the capital of Ứng Hòa District.
  • B. Chi Đông Township
    Chi Đông Township is an urban administrative township serving as a local center within Mê Linh District in Hanoi, Vietnam.
  • C. Sandimen Township
    Sandimen Township is a rural, mountainous township in northern Pingtung County, Taiwan, known for its indigenous Paiwan culture and scenic landscapes.
  • D. Tehkummah Township
    Tehkummah Township is a small rural municipality located on Manitoulin Island in northeastern Ontario, Canada.
  • E. Daren Township
    Daren Township is a rural indigenous township in southern Taitung County, Taiwan, known for its mountainous landscapes and traditional Paiwan and Rukai communities.
  • 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_69ca842e9dcc8190a264119e683cfe04 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd50be52248190bc7cd9deb95a1ef8 completed April 1, 2026, 5:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0f4346be881909acfd218e7468782 completed April 4, 2026, 11:21 a.m.
NEDg Description generation batch_69d0f4b346988190b70cd311dc3481cd completed April 4, 2026, 11:23 a.m.
NED2 Entity disambiguation (via description) batch_69d0f589b86c8190a68c7047766ce464 completed April 4, 2026, 11:27 a.m.
Created at: March 30, 2026, 7:44 p.m.