Triple

T3927328
Position Surface form Disambiguated ID Type / Status
Subject Nam Kỳ E93306 entity
Predicate contains P35 FINISHED
Object Vĩnh Long E96996 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: Vĩnh Long | Statement: [Nam Kỳ, contains, Vĩnh Long]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vĩnh Long
Context triple: [Nam Kỳ, contains, Vĩnh Long]
  • A. Vĩnh Long chosen
    Vĩnh Long is a city and province in Vietnam’s Mekong Delta region, known for its riverine landscapes, fruit orchards, and network of canals and islands.
  • B. Dong Nai Province
    Dong Nai Province is an industrially developed province in Vietnam’s Southeast region, located just east of Ho Chi Minh City and known for its manufacturing zones and the Tri An hydropower reservoir.
  • C. Dong Thap
    Dong Thap is a province in southern Vietnam known for its fertile rice fields, lotus wetlands, and location within the Mekong Delta region.
  • D. Tây Ninh Province
    Tây Ninh Province is a region in southern Vietnam known as the spiritual center and birthplace of the syncretic Cao Dai religion.
  • E. 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.
  • 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_69aed96bfa1081908f7b30f2c647dee6 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeeda4f9d481908dda1b5a826ab64d completed March 9, 2026, 3:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b52878184c8190980af506bb03d5db completed March 14, 2026, 9:20 a.m.
Created at: March 9, 2026, 3:23 p.m.