Triple

T17639248
Position Surface form Disambiguated ID Type / Status
Subject Cần Thơ Bridge E429179 entity
Predicate connects P390 FINISHED
Object Vĩnh Long Province NE NERFINISHED

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 Province | Statement: [Cần Thơ Bridge, connects, Vĩnh Long Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vĩnh Long Province
Context triple: [Cần Thơ Bridge, connects, Vĩnh Long Province]
  • 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. Sông Bé Province
    Sông Bé Province was a former province in southern Vietnam that was later divided into Bình Dương and Bình Phước provinces.
  • D. Bình Phước Province
    Bình Phước Province is a largely rural, forested province in southern Vietnam, known for its rubber and cashew plantations and its location along the Cambodian border.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e2c2608190b762e76d9b2262f1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46de3f2a08190998641fa589bad78 completed April 19, 2026, 5:53 a.m.
Created at: April 10, 2026, 6:01 a.m.