Triple

T26522684
Position Surface form Disambiguated ID Type / Status
Subject White Russian émigrés E669999 entity
Predicate formedDiasporaIn P185620 FINISHED
Object France NE NERFINISHED

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: France | Statement: [White Russian émigrés, formedDiasporaIn, France]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: formedDiasporaIn
Context triple: [White Russian émigrés, formedDiasporaIn, France]
  • A. diasporaUse
    Indicates that members of a diaspora community use, practice, or engage with something (e.g., a language, custom, or resource) in the context of their life outside their place of origin.
  • B. diasporaType
    Indicates the specific kind or category of diaspora relationship that exists between a group and its place of origin.
  • C. majorDiasporaCommunity
    Indicates that a significant portion of a group's population lives outside its traditional homeland, forming a large and influential diaspora community in a given place.
  • D. diasporaOrganization
    Indicates that an organization is associated with, represents, or serves a diaspora community outside its ancestral or origin country.
  • E. diasporaContext
    Indicates that the relationship or action occurs within, is shaped by, or specifically concerns a diaspora setting or experience.
  • F. None of above. chosen

Provenance (4 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_69eeb31b6dcc8190b30632dc3928a0c0 completed April 27, 2026, 12:51 a.m.
NER Named-entity recognition batch_69f7c33d59808190b647989a093f3488 completed May 3, 2026, 9:50 p.m.
PD Predicate disambiguation batch_69f7c1b6e7a881908deb96bedb2713f4 completed May 3, 2026, 9:44 p.m.
PDg Predicate description generation batch_69f7c29cf36481908e472d4dcb5573b9 completed May 3, 2026, 9:48 p.m.
Created at: April 27, 2026, 1:29 a.m.