Triple

T10381401
Position Surface form Disambiguated ID Type / Status
Subject Tien Giang Province E244648 entity
Predicate borders P224 FINISHED
Object Ben Tre Province E792139 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: Ben Tre Province | Statement: [Tien Giang Province, borders, Ben Tre Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ben Tre Province
Context triple: [Tien Giang Province, borders, Ben Tre Province]
  • A. Ben Tre Province chosen
    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.
  • B. Quang Duc Province
    Quang Duc Province was a former administrative province of South Vietnam located in the Central Highlands region.
  • 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. Dak Lak Province
    Dak Lak Province is a mountainous region in Vietnam’s Central Highlands known for its coffee plantations, diverse ethnic communities, and the provincial capital Buon Ma Thuot.
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9921fa48190a874aa9a9e385b97 completed April 7, 2026, 11:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69d90d8580788190a4948984fbc2f57d completed April 10, 2026, 2:47 p.m.
Created at: April 6, 2026, 12:03 p.m.