Triple

T17514863
Position Surface form Disambiguated ID Type / Status
Subject Cửu Long region E426541 entity
Predicate hasProvince P285 FINISHED
Object Bến Tre — 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: Bến Tre | Statement: [Cửu Long region, hasProvince, Bến Tre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bến Tre
Context triple: [Cửu Long region, hasProvince, Bến Tre]
  • 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. 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. Trà Vinh
    Trà Vinh is a coastal province in Vietnam’s Mekong Delta region, known for its large Khmer community, distinctive pagodas, and rich riverine landscapes.
  • D. Hậu Giang
    Hậu Giang is a province in Vietnam’s Mekong Delta region, known for its extensive waterways, rice paddies, and tropical fruit cultivation.
  • E. Vĩnh Long
    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.
  • 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_69d889dd9164819087b1dc3c9240c870 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4525fa0c48190b42b36c40db7ed7f completed April 19, 2026, 3:56 a.m.
Created at: April 10, 2026, 5:49 a.m.