Triple

T10557455
Position Surface form Disambiguated ID Type / Status
Subject Kỳ Sơn District E249124 entity
Predicate borders P224 FINISHED
Object Kim Bôi District E199586 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: Kim Bôi District | Statement: [Kỳ Sơn District, borders, Kim Bôi District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kim Bôi District
Context triple: [Kỳ Sơn District, borders, Kim Bôi District]
  • A. Kim Bôi District chosen
    Kim Bôi District is a rural district of Hòa Bình Province in Vietnam, known for its hot mineral springs and mountainous landscapes.
  • B. Kim Bảng District
    Kim Bảng District is a rural administrative district in Hà Nam Province, Vietnam, known for its karst landscapes and proximity to major transport routes south of Hanoi.
  • C. Kim Bang District
    Kim Bang District is a rural administrative district located within Hà Nam Province in northern Vietnam, known for its agricultural landscape and proximity to major transport routes.
  • D. Tân Châu District
    Tân Châu District is a rural administrative district in southwestern Vietnam, located within Tây Ninh Province near the Cambodian border.
  • E. Boe District
    Boe District is one of the administrative districts of Nauru, located inland on the island’s southwestern side.
  • 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_69d381c733c08190ab1dd6239f5f34ae completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5271521a4819086d96e1f183ab07a completed April 7, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69d9347ae67081909cb2c3911cb1be67 completed April 10, 2026, 5:33 p.m.
Created at: April 6, 2026, 12:35 p.m.