Triple

T16319281
Position Surface form Disambiguated ID Type / Status
Subject Định Tường Province E396247 entity
Predicate successorAdministrativeUnit P6576 FINISHED
Object Bến Tre Province E430853 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: Bến Tre Province | Statement: [Định Tường Province, successorAdministrativeUnit, Bến Tre Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bến Tre Province
Context triple: [Định Tường Province, successorAdministrativeUnit, Bến Tre Province]
  • A. Bến Tre chosen
    Bến Tre is a coastal province in Vietnam’s Mekong Delta, known for its extensive coconut plantations and riverine landscapes.
  • B. Sông Bé Province
    Sông Bé Province was a former province in southern Vietnam that was later divided into Bình Dương and Bình Phước provinces.
  • C. Tiền Giang
    Tiền Giang is a province in Vietnam’s Mekong Delta region, known for its extensive river networks, fruit orchards, and the popular tourist city of Mỹ Tho.
  • D. Long An Province
    Long An Province is a largely agricultural region in southern Vietnam that serves as a gateway between Ho Chi Minh City and the wider Mekong Delta.
  • E. Hậu Giang
    Hậu Giang is a province in Vietnam’s Mekong Delta region, known for its extensive waterways, rice paddies, and tropical fruit cultivation.
  • 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_6a002da6e6e08190a20cc51699e12dbc completed May 10, 2026, 7:03 a.m.
Created at: April 10, 2026, 5:06 a.m.