Triple

T10065121
Position Surface form Disambiguated ID Type / Status
Subject Caishen E213078 entity
Predicate transliteration P2508 FINISHED
Object Cáishén E213078 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: Cáishén | Statement: [Caishen, transliteration, Cáishén]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cáishén
Context triple: [Caishen, transliteration, Cáishén]
  • A. Caishen chosen
    Caishen is the Chinese god of wealth and prosperity, widely venerated in folk religion and popular culture as a bringer of good fortune and financial success.
  • B. Daji
    Daji is a legendary figure in Chinese mythology, often depicted as a beautiful but malevolent consort whose influence is blamed for the downfall of the Shang dynasty.
  • C. 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.
  • D. 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.
  • E. Mazu
    Mazu is a revered Chinese sea goddess and patron deity of sailors and coastal communities, especially venerated in southern China and Taiwan.
  • 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_69ca83977128819084084eb7d1d8c52a completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdcff51b108190b6759f651d4ba2d2 completed April 2, 2026, 2:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29a84c3308190ba9286053c1017dc completed April 5, 2026, 5:23 p.m.
Created at: March 30, 2026, 8:58 p.m.