Triple

T10878624
Position Surface form Disambiguated ID Type / Status
Subject Dong Nai Province E256861 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: [Dong Nai Province, hasEthnicGroup, Kinh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kinh
Context triple: [Dong Nai 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_69d6aa848804819081b2713ca0bedf06 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d751ae92548190a3563c5b18650a32 completed April 9, 2026, 7:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff7e2322c8190a55605237ae6ce95 completed April 15, 2026, 8:41 p.m.
Created at: April 8, 2026, 9:21 p.m.