Triple

T11684172
Position Surface form Disambiguated ID Type / Status
Subject Ung Hoa District E277695 entity
Predicate borders P224 FINISHED
Object Ly Nhan District E665398 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: Ly Nhan District | Statement: [Ung Hoa District, borders, Ly Nhan District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ly Nhan District
Context triple: [Ung Hoa District, borders, Ly Nhan District]
  • A. Ly Nhan District chosen
    Ly Nhan District is a rural administrative district located in Hà Nam Province in northern Vietnam.
  • B. Thanh Liem District
    Thanh Liem District is a rural administrative district located in Hà Nam Province in northern Vietnam.
  • C. Phong Dien District
    Phong Dien District is a rural district of Cần Thơ in Vietnam’s Mekong Delta, known for its lush orchards, waterways, and traditional floating markets.
  • D. Giao Thuy District
    Giao Thuy District is a rural coastal district in northern Vietnam known for its agriculture, fisheries, and proximity to the Xuan Thuy National Park wetland area.
  • E. Huong Hoa District
    Huong Hoa District is a rural mountainous district in Quang Tri Province, Vietnam, known for its border location near Laos and its diverse ethnic communities.
  • 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_69d6aafe02d881909900d54ad7d4af84 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a463f6448190a4c8e1651a2bd905 completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8b5ad3c81909c38c83804b7d337 completed May 3, 2026, 2:53 a.m.
Created at: April 8, 2026, 9:40 p.m.