Triple

T5119066
Position Surface form Disambiguated ID Type / Status
Subject Fuwa E115414 entity
Predicate officialNameInChinese P4878 FINISHED
Object 福娃 E88377 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: 福娃 | Statement: [Fuwa, officialNameInChinese, 福娃]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 福娃
Context triple: [Fuwa, officialNameInChinese, 福娃]
  • A. Bing Dwen Dwen
    Bing Dwen Dwen is the panda-shaped official mascot of the 2022 Beijing Winter Olympics, known for its ice-suit design and playful, friendly appearance.
  • B. Beijing 2008 Olympic Mascot Design Team
    The Beijing 2008 Olympic Mascot Design Team was the creative group responsible for developing the official mascots of the 2008 Beijing Olympic Games.
  • C. Huanhuan chosen
    Huanhuan is one of the five Fuwa characters that served as official mascots of the 2008 Beijing Olympic Games, symbolizing the Olympic flame and the passion of sport.
  • D. Xiao Ke
    Xiao Ke was a prominent Chinese military leader and general of the People’s Liberation Army who played key roles in the Chinese Civil War and early PRC military development.
  • E. Si Ren Bang
    Si Ren Bang is the Chinese name for the Gang of Four, the political faction that wielded significant power during the Cultural Revolution in China and was later blamed for many of its excesses.
  • 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_69bd4442ade0819087b9461f892b206b completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd77cf6590819081488b739efae32c completed March 20, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69bec4a6a7988190b9beec3f0d9494d1 completed March 21, 2026, 4:17 p.m.
Created at: March 20, 2026, 1:42 p.m.