Triple

T16319333
Position Surface form Disambiguated ID Type / Status
Subject Tây Sơn dynasty E396249 entity
Predicate capital P234 FINISHED
Object Quy Nhơn E425576 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: Quy Nhơn | Statement: [Tây Sơn dynasty, capital, Quy Nhơn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Quy Nhơn
Context triple: [Tây Sơn dynasty, capital, Quy Nhơn]
  • A. Quy Nhơn chosen
    Quy Nhơn is a coastal city in central Vietnam known for its beaches, seafood, and growing role as a regional economic and tourism hub.
  • B. Nha Trang
    Nha Trang is a coastal resort city in Vietnam renowned for its sandy beaches, scuba diving, and vibrant tourism industry.
  • C. Vung Tau
    Vung Tau is a coastal city in southern Vietnam known as a major seaside resort and important maritime and oil industry hub.
  • D. Bien Hoa
    Bien Hoa is a major industrial city in southern Vietnam, located near Ho Chi Minh City and known for its large manufacturing zones and economic importance.
  • E. Da Nang
    Da Nang is a major coastal city in central Vietnam known for its sandy beaches, modern infrastructure, and proximity to historic sites like Hoi An and the Marble Mountains.
  • 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_69d87f255b788190a400eba031dd85d8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e296b4ad448190b2b195a5e0032c6e completed April 17, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00260904748190ae1eb5713a6daa68 completed May 10, 2026, 6:30 a.m.
Created at: April 10, 2026, 5:06 a.m.