Triple

T19660508
Position Surface form Disambiguated ID Type / Status
Subject Phú Lộc District E472066 entity
Predicate borders P224 FINISHED
Object Phú Vang District 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: Phú Vang District | Statement: [Phú Lộc District, borders, Phú Vang District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phú Vang District
Context triple: [Phú Lộc District, borders, Phú Vang District]
  • A. Phú Vang District chosen
    Phú Vang District is a rural coastal district in central Vietnam known for its fishing communities, lagoons, and beaches near the city of Huế.
  • B. Lai Vung district
    Lai Vung district is a rural administrative district in Vietnam’s Mekong Delta, known for its citrus orchards and location within Đồng Tháp province.
  • C. Cao Phong District
    Cao Phong District is a rural administrative district in Vietnam’s Hòa Bình Province, known for its mountainous terrain and citrus fruit cultivation.
  • D. Phú Lộc District
    Phú Lộc District is a rural administrative district in central Vietnam known for its coastal landscapes and proximity to the Hải Vân Pass and Lăng Cô Bay.
  • E. Ly Nhan District
    Ly Nhan District is a rural administrative district located in Hà Nam Province in northern Vietnam.
  • 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_69d8e51395348190ac1416d46dfc6db0 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e6414993ac8190b6da3702b1924b24 completed April 20, 2026, 3:07 p.m.
Created at: April 10, 2026, 1:45 p.m.