Triple

T3847517
Position Surface form Disambiguated ID Type / Status
Subject Nini E85207 entity
Predicate sharesGroupWith P32181 FINISHED
Object Yingying E89578 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: Yingying | Statement: [Nini, sharesGroupWith, Yingying]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yingying
Context triple: [Nini, sharesGroupWith, Yingying]
  • A. Yingying chosen
    Yingying is one of the five Fuwa mascots of the 2008 Beijing Summer Olympics, represented as a Tibetan antelope symbolizing health and athleticism.
  • B. Ying
    Ying was the principal political and cultural center of the ancient Chinese State of Chu during the Zhou dynasty period.
  • C. Jingjing
    Jingjing is one of the five Fuwa mascots of the 2008 Beijing Summer Olympics, represented as a giant panda symbolizing happiness and prosperity.
  • D. Xue Yue
    Xue Yue was a prominent Nationalist Chinese general renowned for his leadership in key battles against Japanese forces during the Second Sino-Japanese War.
  • E. Shanshan
    Shanshan was an ancient oasis kingdom in the eastern Tarim Basin, known for its role as a Silk Road crossroads and its mix of Indo-European and Chinese cultural influences.
  • 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_69aed936de1c81908f91bed80f70abb2 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeebcb069881909d3536b18b7802a7 completed March 9, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5283876148190b06633b91a788ffe completed March 14, 2026, 9:19 a.m.
Created at: March 9, 2026, 3:18 p.m.