Triple

T11333843
Position Surface form Disambiguated ID Type / Status
Subject Văn Lâm District E268416 entity
Predicate capital P234 FINISHED
Object Như Quỳnh E918243 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: Như Quỳnh | Statement: [Văn Lâm District, capital, Như Quỳnh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Như Quỳnh
Context triple: [Văn Lâm District, capital, Như Quỳnh]
  • A. Như Quỳnh chosen
    Như Quỳnh is a township in northern Vietnam that serves as a local urban and commercial hub within Hưng Yên province.
  • B. 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.
  • C. Nguyễn Cao Kỳ Duyên
    Nguyễn Cao Kỳ Duyên is a Vietnamese-American lawyer and television personality best known as a longtime co-host of the popular Paris By Night musical variety show.
  • D. Phương Mai
    Phương Mai was a Vietnamese princess, the daughter of Emperor Bảo Đại, the last emperor of the Nguyễn dynasty.
  • E. Quỳnh Mai Ward
    Quỳnh Mai Ward is an urban administrative ward located within Hai Bà Trưng District in Hanoi, Vietnam.
  • 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_69d6aacb1f0881908c84a349fd1be047 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9fe5d5881908d786b212a554d8b completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5432abfd081909d1bbf6460643fb9 completed April 19, 2026, 9:03 p.m.
Created at: April 8, 2026, 9:33 p.m.