Triple

T16319248
Position Surface form Disambiguated ID Type / Status
Subject Định Tường Province E396247 entity
Predicate capital P234 FINISHED
Object Mỹ Tho E96995 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: Mỹ Tho | Statement: [Định Tường Province, capital, Mỹ Tho]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mỹ Tho
Context triple: [Định Tường Province, capital, Mỹ Tho]
  • A. Mỹ Tho chosen
    Mỹ Tho is a city in southern Vietnam’s Mekong Delta, known as a historic river port and a popular gateway for boat tours among the region’s islands and canals.
  • B. Bến Tre
    Bến Tre is a coastal province in Vietnam’s Mekong Delta, known for its extensive coconut plantations and riverine landscapes.
  • C. Cần Thơ
    Cần Thơ is a major city in southern Vietnam and the economic and cultural hub of the Mekong Delta region.
  • D. Chau Doc
    Chau Doc is a riverfront city in Vietnam’s An Giang Province, known as a cultural crossroads near the Cambodian border and a gateway to the Mekong Delta.
  • E. Ben Tre
    Ben Tre is a coastal province in southern Vietnam known for its lush coconut groves and riverine landscapes within the Mekong Delta region.
  • 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_69d87f255b788190a400eba031dd85d8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e296b4ad448190b2b195a5e0032c6e completed April 17, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a002da6e6e08190a20cc51699e12dbc completed May 10, 2026, 7:03 a.m.
Created at: April 10, 2026, 5:06 a.m.