Triple

T2234856
Position Surface form Disambiguated ID Type / Status
Subject Thường Tín District E49255 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: [Thường Tín District, borders, Thanh Oai District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thanh Oai District
Context triple: [Thường Tín 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. 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.
  • 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. Đan Phượng District
    Đan Phượng District is a rural administrative district located on the outskirts of Hanoi, Vietnam.
  • E. Ba Đình District
    Ba Đình District is a central urban district of Hanoi, Vietnam, known as the political heart of the country and home to key government buildings and historical sites.
  • 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_69a88aa84bdc819086df50e9c20b301e completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc09297a481909e8fe6ec645de616 completed March 7, 2026, 6:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01d0915148190b77b8a30fa3f796d completed March 10, 2026, 1:30 p.m.
Created at: March 4, 2026, 7:47 p.m.