Triple

T13562043
Position Surface form Disambiguated ID Type / Status
Subject Kaifeng Jews E323931 entity
Predicate ethnicIntegration P70215 FINISHED
Object intermarriage with Han Chinese 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: intermarriage with Han Chinese | Statement: [Kaifeng Jews, ethnicIntegration, intermarriage with Han Chinese]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ethnicIntegration
Context triple: [Kaifeng Jews, ethnicIntegration, intermarriage with Han Chinese]
  • A. ethnicPluralityOf
    Indicates that one ethnic group constitutes the largest share of the population within a given place or entity, though not necessarily an absolute majority.
  • B. culturalAssimilationInto chosen
    Indicates a process where one entity adopts or integrates into the cultural norms, values, and practices of another entity or group.
  • C. hasImmigrantCommunitiesFrom
    Indicates that a place or region contains established communities of people who have immigrated from a specified origin location.
  • D. sharesEthnicity
    Indicates that two entities belong to the same ethnic group or share the same ethnic background.
  • E. isMulticulturalCity
    Indicates that a city is characterized by the presence and interaction of multiple cultural, ethnic, or linguistic communities.
  • 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_69d8076830b48190910a902bae5888e2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbbb9ee3f081909056dc1a92c40b7a completed April 12, 2026, 3:34 p.m.
PD Predicate disambiguation batch_69dbae13bec4819084c1770638c00ed9 completed April 12, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:47 p.m.