Triple

T11684169
Position Surface form Disambiguated ID Type / Status
Subject Ung Hoa District E277695 entity
Predicate borders P224 FINISHED
Object Thanh Oai District E48575 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: Thanh Oai District | Statement: [Ung Hoa District, borders, Thanh Oai District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thanh Oai District
Context triple: [Ung Hoa District, borders, Thanh Oai District]
  • A. Thanh Oai District chosen
    Thanh Oai District is a suburban administrative district of Hanoi, Vietnam, known for its traditional craft villages and rapidly urbanizing rural landscape.
  • B. Ly Nhan District
    Ly Nhan District is a rural administrative district located in Hà Nam Province in northern Vietnam.
  • C. 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.
  • D. Thanh Liem District
    Thanh Liem District is a rural administrative district located in Hà Nam Province in northern Vietnam.
  • 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_69f6af38e3548190a5192894932d9b1d completed May 3, 2026, 2:13 a.m.
Created at: April 8, 2026, 9:40 p.m.