Triple

T21137096
Position Surface form Disambiguated ID Type / Status
Subject Kroraina E520841 entity
Predicate hasChineseName P4878 FINISHED
Object Shanshan NE NERFINISHED

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: Shanshan | Statement: [Kroraina, hasChineseName, Shanshan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shanshan
Context triple: [Kroraina, hasChineseName, Shanshan]
  • A. Shanshan chosen
    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.
  • B. Shaoqi
    Shaoqi is the given name of Liu Shaoqi, a prominent Chinese revolutionary leader and former President of the People’s Republic of China.
  • C. Jiali
    Jiali is the original Chinese title of the work known in English as "Family Rituals."
  • D. Linzi
    Linzi was the prominent ancient Chinese city that served as the political, economic, and cultural center of the powerful State of Qi during the Zhou dynasty.
  • E. Jingjing
    Jingjing is one of the five Fuwa mascots of the 2008 Beijing Summer Olympics, represented as a giant panda symbolizing happiness and prosperity.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b50b53048190ae34e8abbe3c5ada completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7235b89188190a6209c0a1839ee03 completed April 21, 2026, 7:12 a.m.
Created at: April 16, 2026, 2:57 p.m.