Triple

T4283333
Position Surface form Disambiguated ID Type / Status
Subject Quanzhou E97206 entity
Predicate majorReligionHistorical P7641 FINISHED
Object Buddhism LITERAL 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: Buddhism | Statement: [Quanzhou, majorReligionHistorical, Buddhism]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: majorReligionHistorical
Context triple: [Quanzhou, majorReligionHistorical, Buddhism]
  • A. religionHistoricallyAssociated chosen
    Indicates a historical association between an entity and a particular religion, based on past practice, tradition, or cultural linkage rather than current or official status.
  • B. historicalDoctrine
    Indicates that one entity embodies, represents, or is associated with a doctrine, teaching, or set of principles originating from a past historical context.
  • C. religionSignificant
    Indicates that a particular religion plays an important or influential role in relation to the referenced entity or context.
  • D. laterReligion
    Indicates that one religion or religious affiliation chronologically follows or replaces another for the same entity.
  • E. dominantReligionLegacy
    Indicates that a historically dominant religion has left a lasting influence or heritage on a society, culture, or region.
  • F. None of above.

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_69b3454595848190a0e6bbb6a2bea040 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3503a84548190989a96d1a30d6ef7 completed March 12, 2026, 11:46 p.m.
PD Predicate disambiguation batch_69b347fc4c0c8190a7fcd814e27308a5 completed March 12, 2026, 11:10 p.m.
Created at: March 12, 2026, 11:07 p.m.