Triple

T4060545
Position Surface form Disambiguated ID Type / Status
Subject Jingjing E86199 entity
Predicate hasCompanion P22642 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: [Jingjing, hasCompanion, Yingying]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yingying
Context triple: [Jingjing, hasCompanion, 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_69aed93c69208190a4efac0efe3cd69b completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefbd32c0c8190bc575974ccf831b3 completed March 9, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b576966bd081909b804a3ccc18c1ee completed March 14, 2026, 2:54 p.m.
Created at: March 9, 2026, 3:38 p.m.