Triple

T10299384
Position Surface form Disambiguated ID Type / Status
Subject Bac Lieu E241585 entity
Predicate borders P224 FINISHED
Object Ca Mau province E238480 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: Ca Mau province | Statement: [Bac Lieu, borders, Ca Mau province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ca Mau province
Context triple: [Bac Lieu, borders, Ca Mau province]
  • A. Ca Mau chosen
    Ca Mau is Vietnam’s southernmost province, known for its extensive mangrove forests, rich fisheries, and the Ca Mau Cape where the country meets the Gulf of Thailand and the South China Sea.
  • B. 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.
  • 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. Quang Duc Province
    Quang Duc Province was a former administrative province of South Vietnam located in the Central Highlands region.
  • E. Lam Dong Province
    Lam Dong Province is a mountainous region in Vietnam’s Central Highlands known for its cool climate, pine forests, and the popular tourist city of Da Lat.
  • 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2ee10f88190b1615c49b8f24a26 completed April 7, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d87e40205c8190a4788e1db1f149d2 completed April 10, 2026, 4:36 a.m.
Created at: April 6, 2026, 11:44 a.m.