Triple

T1877928
Position Surface form Disambiguated ID Type / Status
Subject Chinese folk religion E39185 entity
Predicate hasDeity P5606 FINISHED
Object Mazu E88708 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 | Statement: [Chinese folk religion, hasDeity, Mazu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mazu
Context triple: [Chinese folk religion, hasDeity, Mazu]
  • A. Mazu chosen
    Mazu is a revered Chinese sea goddess and patron deity of sailors and coastal communities, especially venerated in southern China and Taiwan.
  • B. 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.
  • C. Tōshō
    Tōshō is the commonly used Japanese abbreviation for the Tokyo Stock Exchange, one of the world’s largest and most influential stock markets.
  • D. Xuan Dieu
    Xuan Dieu is a popular street and neighborhood in Hanoi’s Tay Ho District, known for its lakeside views, expatriate community, and vibrant mix of cafes, restaurants, and shops.
  • E. Guanyin
    Guanyin is a revered bodhisattva in East Asian Buddhism associated with compassion and mercy, often depicted as a protective and benevolent figure who hears the cries of the world.
  • 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_69a8862f7074819096afe7fe65e179e9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb0f79fbc819085c54f3189a552d9 completed March 7, 2026, 5 a.m.
NED1 Entity disambiguation (via context triple) batch_69adeae44f6c8190a5924609863030a4 completed March 8, 2026, 9:32 p.m.
Created at: March 4, 2026, 7:34 p.m.