Triple

T22033290
Position Surface form Disambiguated ID Type / Status
Subject Mrs. Gao E544137 entity
Predicate religiousOrSpiritualContext P9028 FINISHED
Object Chinese folk and traditional values 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: Chinese folk and traditional values | Statement: [Mrs. Gao, religiousOrSpiritualContext, Chinese folk and traditional values]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: religiousOrSpiritualContext
Context triple: [Mrs. Gao, religiousOrSpiritualContext, Chinese folk and traditional values]
  • A. religiousCulturalContext chosen
    Indicates the religious or cultural setting, tradition, or framework within which an entity, practice, or event occurs or is interpreted.
  • B. typicalReligionContext
    Indicates the usual or most common religious setting, tradition, or affiliation associated with an entity or situation.
  • C. religionOrBelief
    Indicates that one entity holds, practices, or is associated with a particular religion, faith, or belief system.
  • D. originReligionContext
    Indicates the religious background or setting from which something or someone originates or is derived.
  • E. religiousSpectrum
    Indicates a relationship that places entities along a range or continuum of religious belief, practice, or affiliation.
  • 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_69e11e2f98c8819083e11eab90942a78 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127ef97348190b8dcdcad11694ebe completed April 28, 2026, 9:34 p.m.
PD Predicate disambiguation batch_69e6f63b0d048190b241622759aab9de completed April 21, 2026, 3:59 a.m.
Created at: April 16, 2026, 8:24 p.m.