Triple

T2563032
Position Surface form Disambiguated ID Type / Status
Subject Chan Buddhism E57285 entity
Predicate associatedMonk P39343 FINISHED
Object Mazu Daoyi E277421 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: Mazu Daoyi | Statement: [Chan Buddhism, associatedMonk, Mazu Daoyi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mazu Daoyi
Context triple: [Chan Buddhism, associatedMonk, Mazu Daoyi]
  • A. Ma Lin
    Ma Lin is a retired Chinese table tennis player renowned for his Olympic gold medals and exceptional skill in doubles and penhold play.
  • B. Hongren chosen
    Hongren was a seminal early patriarch of Chan (Zen) Buddhism in China, renowned for shaping its meditative teachings and transmission.
  • C. Mazu
    Mazu is a revered Chinese sea goddess and patron deity of sailors and coastal communities, especially venerated in southern China and Taiwan.
  • D. Zhenwu
    Zhenwu is a powerful Taoist deity associated with the north, martial protection, and spiritual cultivation, especially revered in Chinese religious and martial traditions.
  • E. Chenghuangshen
    Chenghuangshen is a traditional Chinese city god deity believed to protect and oversee the affairs, justice, and welfare of a specific city and its inhabitants.
  • 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_69ab4a4ef9008190a0e6d4422b9418b7 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd8317b0481908d6d1436732253b2 completed March 7, 2026, 7:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69af83a4f6788190be268076838711df completed March 10, 2026, 2:36 a.m.
Created at: March 6, 2026, 9:48 p.m.