Triple

T35233453
Position Surface form Disambiguated ID Type / Status
Subject Sousa E1017304 entity
Predicate usedByDiasporaCommunitiesIn 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: [Sousa, usedByDiasporaCommunitiesIn, United States]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedByDiasporaCommunitiesIn
Context triple: [Sousa, usedByDiasporaCommunitiesIn, 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. usedByCommunity
    Indicates that something is utilized or adopted collectively by a particular community.
  • D. hasDiaspora
    Indicates that a group, community, or population has members who have dispersed or settled outside their original homeland or region.
  • 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_69f76de12e4c8190bc46b71a32858356 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69fd44474ed48190ac372e4c88d762ed completed May 8, 2026, 2:02 a.m.
PD Predicate disambiguation batch_69fd41ef28a48190a66959be5c964461 completed May 8, 2026, 1:52 a.m.
Created at: May 3, 2026, 4:02 p.m.