Triple

T9717661
Position Surface form Disambiguated ID Type / Status
Subject Dong Thap E235382 entity
Predicate borders P224 FINISHED
Object Vinh Long province E619079 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: Vinh Long province | Statement: [Dong Thap, borders, Vinh Long province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vinh Long province
Context triple: [Dong Thap, borders, Vinh Long province]
  • A. Vinh Long chosen
    Vinh Long is a province in Vietnam’s Mekong Delta region, known for its riverine landscapes, fruit orchards, and network of canals and islands.
  • B. Tra Vinh province
    Tra Vinh province is a coastal province in Vietnam’s Mekong Delta region, known for its large Khmer community, distinctive pagodas, and agriculture-based economy.
  • C. 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.
  • D. Binh Long Province
    Binh Long Province was a former province in southern Vietnam that became a major battleground during the Vietnam War, particularly in the 1972 Easter Offensive.
  • E. Ben Tre Province
    Ben Tre Province is a coastal province in Vietnam’s Mekong Delta region, known for its extensive coconut plantations and intricate network of rivers and canals.
  • 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_69ca84d0123c819096f9dc3b6abb0881 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e3ea61081908a5671fc5be9a738 completed April 1, 2026, 10:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69d25753fec48190927e8d96efd2df54 completed April 5, 2026, 12:36 p.m.
Created at: March 30, 2026, 8:20 p.m.