Triple

T9304455
Position Surface form Disambiguated ID Type / Status
Subject Vĩnh Phúc Province E223846 entity
Predicate hasCity P316 FINISHED
Object Vĩnh Yên E790346 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: Vĩnh Yên | Statement: [Vĩnh Phúc Province, hasCity, Vĩnh Yên]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vĩnh Yên
Context triple: [Vĩnh Phúc Province, hasCity, Vĩnh Yên]
  • A. Vĩnh Yên chosen
    Vĩnh Yên is an urban city in northern Vietnam that serves as an administrative, economic, and cultural hub within Vĩnh Phúc Province.
  • B. Hai Duong
    Hai Duong is a provincial city in northern Vietnam known as an important industrial and transportation hub between Hanoi and Hai Phong.
  • C. Ninh Binh City
    Ninh Binh City is an urban center in northern Vietnam known as the gateway to the scenic karst landscapes and cultural sites of the surrounding Ninh Binh Province.
  • D. Phu Ly City
    Phu Ly City is the capital and main urban, economic, and administrative center of Ha Nam Province in northern Vietnam.
  • E. Hai Duong Province
    Hai Duong Province is a northeastern Vietnamese province in the Red River Delta region, known for its agricultural production, traditional crafts, 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_69ca8424d0f08190831e2e93c6533aeb completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd1da623ac81908bab6dfb1bbce25d completed April 1, 2026, 1:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0c77b8bf481909c5abf6523f75b2c completed April 4, 2026, 8:10 a.m.
Created at: March 30, 2026, 7:36 p.m.