Triple

T24416275
Position Surface form Disambiguated ID Type / Status
Subject Kinh language E615591 entity
Predicate usedByDiasporaIn P44967 FINISHED
Object United States 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: United States | Statement: [Kinh language, usedByDiasporaIn, United States]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedByDiasporaIn
Context triple: [Kinh language, usedByDiasporaIn, United States]
  • A. isUsedByDiaspora
    Indicates that something is utilized, practiced, or maintained by members of a diaspora community.
  • B. diasporaUse chosen
    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.
  • C. hasDiaspora
    Indicates that a group, community, or population has members who have dispersed or settled outside their original homeland or region.
  • D. viewOnDiaspora
    Indicates that one entity holds a particular perspective, opinion, or stance regarding diaspora communities or diaspora-related issues.
  • E. shareDiasporaFlows
    Indicates that there are migration or diaspora movements connecting the two entities, such that they share significant flows of people relocating or maintaining ties across their populations.
  • 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_69e2d7e9bfac8190a748952a90957106 completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f29584d7b88190b35843d3c4e81e03 completed April 29, 2026, 11:34 p.m.
PD Predicate disambiguation batch_69f287cc4fd4819081e93cc638d9512d completed April 29, 2026, 10:35 p.m.
Created at: April 18, 2026, 2:13 a.m.