Triple

T17445536
Position Surface form Disambiguated ID Type / Status
Subject Northern and Southern dynasties period E424771 entity
Predicate notableDynastyInSouth P127480 FINISHED
Object Liang 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: Liang | Statement: [Northern and Southern dynasties period, notableDynastyInSouth, Liang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liang
Context triple: [Northern and Southern dynasties period, notableDynastyInSouth, Liang]
  • A. Liang chosen
    Liang is a common Chinese surname borne by numerous historical figures, scholars, and public personalities across the Chinese-speaking world.
  • B. Liangjie
    Liangjie is the given name of Dongshan Liangjie, a prominent 9th-century Chan (Zen) Buddhist master associated with the Caodong/Sōtō school in China.
  • C. Jianwei
    Jianwei is a given name most notably borne by Pan Jianwei, a prominent Chinese quantum physicist recognized for his pioneering work in quantum communication and quantum computing.
  • D. Liao
    Liao is a surname of Chinese origin borne by various notable individuals across fields such as acting, politics, and academia.
  • E. Liulichang
    Liulichang is a famous historic cultural street in Beijing known for its traditional architecture, antique shops, and stores selling calligraphy, paintings, and rare books.
  • 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_69d889db0ba481908402409af3b37917 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e44ffafec48190b25980318cea353f completed April 19, 2026, 3:46 a.m.
Created at: April 10, 2026, 5:47 a.m.