Triple

T6570663
Position Surface form Disambiguated ID Type / Status
Subject Vinh Thanh District E155424 entity
Predicate capital P234 FINISHED
Object Thanh An E603195 NE FINISHED

How this triple was built (2 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: Thanh An | Statement: [Vinh Thanh District, capital, Thanh An]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Thanh An
Context triple: [Vinh Thanh District, capital, Thanh An]
  • A. Thanh An chosen
    Thanh An is a township in Vietnam that serves as the administrative center of Vinh Thanh District in Can Tho.
  • B. Phương Mai
    Phương Mai was a Vietnamese princess, the daughter of Emperor Bảo Đại, the last emperor of the Nguyễn dynasty.
  • C. Đặng Tuyết Mai
    Đặng Tuyết Mai was a prominent South Vietnamese socialite and former flight attendant who became widely known as the glamorous wife of Air Vice Marshal and Prime Minister Nguyễn Cao Kỳ.
  • D. Bảo Thắng
    Bảo Thắng was a Vietnamese prince, one of the sons of the last emperor of Vietnam, Bảo Đại.
  • E. Bùi Anh Tuấn
    Bùi Anh Tuấn is a Vietnamese academic and educational administrator who serves as the rector of Foreign Trade University, one of Vietnam’s leading universities in economics and international business.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c688151254819080387f87deab8fa7 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae5791e881909d0b340aa63c6223 completed March 27, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e4275eec8190ba52fa4fb1bc64db completed March 27, 2026, 8:10 p.m.
Created at: March 27, 2026, 1:53 p.m.