Triple

T17619360
Position Surface form Disambiguated ID Type / Status
Subject Bình Thuận province E429667 entity
Predicate borders P224 FINISHED
Object Khánh Hòa province 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: Khánh Hòa province | Statement: [Bình Thuận province, borders, Khánh Hòa province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khánh Hòa province
Context triple: [Bình Thuận province, borders, Khánh Hòa province]
  • A. Khánh Hòa province chosen
    Khánh Hòa province is a coastal region in south-central Vietnam known for its beaches, islands, and the resort city of Nha Trang.
  • B. Phú Yên province
    Phú Yên province is a coastal region in south-central Vietnam known for its scenic beaches, rice fields, and relatively unspoiled natural landscapes.
  • C. Ninh Thuận Province
    Ninh Thuận Province is a coastal province in south-central Vietnam known for its dry climate, Cham cultural heritage, and agriculture, particularly grape and sheep farming.
  • D. Binh Dinh Province
    Binh Dinh Province is a coastal province in south-central Vietnam known for its historic Cham sites, martial arts traditions, and the city of Quy Nhon.
  • E. Phu Yen province
    Phu Yen province is a coastal province in south-central Vietnam known for its scenic beaches, lagoons, and relatively unspoiled natural landscapes.
  • 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_69d889e37f308190a6aa0a69daff86c7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46d3547d88190ae3c9ffed63133c9 completed April 19, 2026, 5:50 a.m.
Created at: April 10, 2026, 5:51 a.m.