Triple

T19732913
Position Surface form Disambiguated ID Type / Status
Subject Quảng Điền District E473898 entity
Predicate capital P234 FINISHED
Object Sịa
Sịa is a small township in central Vietnam that serves as the administrative and commercial hub of Quảng Điền District in Thừa Thiên Huế Province.
E1393295 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: Sịa | Statement: [Quảng Điền District, capital, Sịa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sịa
Context triple: [Quảng Điền District, capital, Sịa]
  • A. Suai
    Suai is an alternative name for the Kuy people, an indigenous ethnic group of mainland Southeast Asia known for their distinct language and cultural traditions.
  • B. Sán Dìu
    Sán Dìu are an ethnic minority group in northern Vietnam, known for their distinct Sino-Vietnamese language, folk songs, and traditional agricultural lifestyle.
  • C. Sini
    Sini is an alternative name for the character Yuyudhana, a warrior figure known from Indian epic tradition.
  • D. Taiyan
    Taiyan was an era name used during the reign of Emperor Taiwu of the Northern Wei dynasty in early medieval China.
  • E. Tajuan
    Tajuan is the given first name of former NFL cornerback Ty Law.
  • 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: Sịa
Triple: [Quảng Điền District, capital, Sịa]
Generated description
Sịa is a small township in central Vietnam that serves as the administrative and commercial hub of Quảng Điền District in Thừa Thiên Huế Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sịa
Target entity description: Sịa is a small township in central Vietnam that serves as the administrative and commercial hub of Quảng Điền District in Thừa Thiên Huế Province.
  • A. Suai
    Suai is an alternative name for the Kuy people, an indigenous ethnic group of mainland Southeast Asia known for their distinct language and cultural traditions.
  • B. Sán Dìu
    Sán Dìu are an ethnic minority group in northern Vietnam, known for their distinct Sino-Vietnamese language, folk songs, and traditional agricultural lifestyle.
  • C. Sini
    Sini is an alternative name for the character Yuyudhana, a warrior figure known from Indian epic tradition.
  • D. Taiyan
    Taiyan was an era name used during the reign of Emperor Taiwu of the Northern Wei dynasty in early medieval China.
  • E. Tajuan
    Tajuan is the given first name of former NFL cornerback Ty Law.
  • 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_69d8e517ebd48190979ee76723bcfadf completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e651596b98819090bcaf05c7b74555 completed April 20, 2026, 4:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07b4f4e1e081908fca0b6513bb3bbb completed May 16, 2026, 12:06 a.m.
NEDg Description generation batch_6a07b73cc5a48190af0ab9da30c859b4 completed May 16, 2026, 12:15 a.m.
NED2 Entity disambiguation (via description) batch_6a07b81193d081908dfb19272b4df41b completed May 16, 2026, 12:19 a.m.
Created at: April 10, 2026, 1:47 p.m.