Triple

T17514855
Position Surface form Disambiguated ID Type / Status
Subject Cửu Long region E426541 entity
Predicate hasCity P316 FINISHED
Object Mỹ Tho 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: Mỹ Tho | Statement: [Cửu Long region, hasCity, Mỹ Tho]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mỹ Tho
Context triple: [Cửu Long region, hasCity, 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 (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.