Triple

T18310931
Position Surface form Disambiguated ID Type / Status
Subject Hậu Giang E438621 entity
Predicate borders P224 FINISHED
Object Vĩnh Long 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 | Statement: [Hậu Giang, borders, Vĩnh Long]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vĩnh Long
Context triple: [Hậu Giang, borders, 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. 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.
  • C. Bến Tre
    Bến Tre is a coastal province in Vietnam’s Mekong Delta, known for its extensive coconut plantations and riverine landscapes.
  • D. 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.
  • E. Vinh Long
    Vinh Long is a province in Vietnam’s Mekong Delta region, known for its riverine landscapes, fruit orchards, and network of canals and islands.
  • 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_69d8b915e3e881909125d760c15d0c29 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e502180d208190ae7c4f3d0ef3dc55 completed April 19, 2026, 4:26 p.m.
Created at: April 10, 2026, 10:36 a.m.