Triple

T9177910
Position Surface form Disambiguated ID Type / Status
Subject Thái Nguyên Province E220246 entity
Predicate hasEthnicGroup P1898 FINISHED
Object Kinh E41504 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: Kinh | Statement: [Thái Nguyên Province, hasEthnicGroup, Kinh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kinh
Context triple: [Thái Nguyên Province, hasEthnicGroup, Kinh]
  • A. Kinh chosen
    The Kinh are the majority ethnic group of Vietnam, historically dominant in its politics, culture, and economy.
  • B. Wujing
    Wujing is a residential town in Shanghai, China, located within the city's Minhang District.
  • C. Cheonji
    Cheonji is the high-altitude crater lake atop Paektu Mountain on the border of China and North Korea, renowned for its scenic beauty and volcanic origin.
  • D. Kothao Keu Nei
    Kothao Keu Nei is a hugely popular Bangladeshi television drama series and novel by Humayun Ahmed, centered on the iconic character Baker Bhai and known for its profound social impact and emotional storytelling.
  • E. Sanggyeong
    Sanggyeong was the principal royal capital city of the Balhae kingdom, serving as its political and cultural center in Northeast Asia.
  • 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_69ca83e589948190ac9907819db11ddf completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccc24eeb988190af82dfba49aac2f8 completed April 1, 2026, 6:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05c0a91ec8190a97002660b66aabe completed April 4, 2026, 12:32 a.m.
Created at: March 30, 2026, 7:23 p.m.