Triple

T23041972
Position Surface form Disambiguated ID Type / Status
Subject Vinh E573759 entity
Predicate hasAdministrativeDivision P747 FINISHED
Object Hưng Hòa Commune
Hưng Hòa Commune is a rural administrative subdivision of the city of Vinh in Nghệ An Province, Vietnam.
 E1569591 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: Hưng Hòa Commune | Statement: [Vinh, hasAdministrativeDivision, Hưng Hòa Commune]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hưng Hòa Commune
Context triple: [Vinh, hasAdministrativeDivision, Hưng Hòa Commune]
  • A. Xuân Hòa Commune
    Xuân Hòa Commune is a rural administrative subdivision of Nam Đàn District in Nghệ An Province, Vietnam.
  • B. Hưng Đông Commune
    Hưng Đông Commune is a local administrative subdivision of Vinh city in Nghệ An Province, Vietnam.
  • C. Nam Hưng Commune
    Nam Hưng Commune is a rural administrative subdivision located within Nam Đàn District in Nghệ An Province, Vietnam.
  • D. Hồng Sơn Commune
    Hồng Sơn Commune is a rural administrative subdivision located within Mỹ Đức District of Hanoi, Vietnam.
  • E. Hưng Chính Commune
    Hưng Chính Commune is a local administrative subdivision of Vinh city in Nghệ An Province, 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: Hưng Hòa Commune
Triple: [Vinh, hasAdministrativeDivision, Hưng Hòa Commune]
Generated description
Hưng Hòa Commune is a rural administrative subdivision of the city of Vinh in Nghệ An Province, Vietnam.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hưng Hòa Commune
Target entity description: Hưng Hòa Commune is a rural administrative subdivision of the city of Vinh in Nghệ An Province, Vietnam.
  • A. Xuân Hòa Commune
    Xuân Hòa Commune is a rural administrative subdivision of Nam Đàn District in Nghệ An Province, Vietnam.
  • B. Hưng Đông Commune
    Hưng Đông Commune is a local administrative subdivision of Vinh city in Nghệ An Province, Vietnam.
  • C. Nam Hưng Commune
    Nam Hưng Commune is a rural administrative subdivision located within Nam Đàn District in Nghệ An Province, Vietnam.
  • D. Hồng Sơn Commune
    Hồng Sơn Commune is a rural administrative subdivision located within Mỹ Đức District of Hanoi, Vietnam.
  • E. Hưng Chính Commune
    Hưng Chính Commune is a local administrative subdivision of Vinh city in Nghệ An Province, 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_69e245b9c11481909d06c872214d21af completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18513fc54819096d761a0be75b774 completed April 29, 2026, 4:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c159ffb7481909b2987e8aea047ca completed May 19, 2026, 7:47 a.m.
NEDg Description generation batch_6a0c17214dc48190be02f8d83c29b90a completed May 19, 2026, 7:54 a.m.
NED2 Entity disambiguation (via description) batch_6a0c17da6a108190b37d1e69e6f24e00 completed May 19, 2026, 7:57 a.m.
Created at: April 17, 2026, 3:54 p.m.