Triple

T38645752
Position Surface form Disambiguated ID Type / Status
Subject Yeruham E938709 entity
Predicate immigrantCommunitiesFrom P70257 FINISHED
Object North Africa 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: North Africa | Statement: [Yeruham, immigrantCommunitiesFrom, North Africa]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: immigrantCommunitiesFrom
Context triple: [Yeruham, immigrantCommunitiesFrom, North Africa]
  • A. hasImmigrantCommunitiesFrom chosen
    Indicates that a place or region contains established communities of people who have immigrated from a specified origin location.
  • B. recentImmigrantCommunities
    Indicates that the entities are communities composed primarily of people who have immigrated relatively recently to a particular country or region.
  • C. immigratesFrom
    Indicates that an entity moves to live in a new country or region, originating from the specified source country or region.
  • D. ethnicCommunityContext
    Indicates the cultural, social, or historical context related to an entity’s association with a particular ethnic community.
  • E. ethnicCommunityBase
    Indicates that an ethnic community is based in, originates from, or is primarily associated with a particular place or area.
  • 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_69f76ed948ec81908ce7811608a8f359 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fcdb0de8c08190928cd1323f80ab5c completed May 7, 2026, 6:33 p.m.
PD Predicate disambiguation batch_69fcd9017dd88190b32a73fe78909740 completed May 7, 2026, 6:25 p.m.
Created at: May 3, 2026, 4:32 p.m.