Triple

T3976816
Position Surface form Disambiguated ID Type / Status
Subject Shi (surname associated with Kaifeng Jews) E85662 entity
Predicate ethnoReligiousContext P8262 FINISHED
Object Chinese Jewish diaspora 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 Jewish diaspora | Statement: [Shi (surname associated with Kaifeng Jews), ethnoReligiousContext, Chinese Jewish diaspora]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ethnoReligiousContext
Context triple: [Shi (surname associated with Kaifeng Jews), ethnoReligiousContext, Chinese Jewish diaspora]
  • A. religiousCulturalContext
    Indicates the religious or cultural setting, tradition, or framework within which an entity, practice, or event occurs or is interpreted.
  • B. ethnoreligiousIdentity chosen
    Indicates a relationship where an entity is characterized by a combined ethnic and religious group identity.
  • C. ethnicReligion
    Indicates that a religion is closely associated with a particular ethnic group, often tied to that group’s culture, ancestry, or identity.
  • D. typicalReligionContext
    Indicates the usual or most common religious setting, tradition, or affiliation associated with an entity or situation.
  • E. religionMinority
    Indicates that the subject’s religion is a minority faith within the relevant population or context.
  • 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_69aed93908348190a26c8aaf4fab3e86 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefaca33e4819091957c7915857a42 completed March 9, 2026, 4:52 p.m.
PD Predicate disambiguation batch_69aef8f252b081909749d40440d372b2 completed March 9, 2026, 4:44 p.m.
Created at: March 9, 2026, 3:33 p.m.