Triple

T27494753
Position Surface form Disambiguated ID Type / Status
Subject TZ E693993 entity
Predicate assignedToRegion P88410 FINISHED
Object East 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: East Africa | Statement: [TZ, assignedToRegion, East Africa]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: assignedToRegion
Context triple: [TZ, assignedToRegion, East Africa]
  • A. assignedToArea chosen
    Indicates that something has been allocated or designated to a specific area or region.
  • B. assignedToTerritoryType
    Indicates that an entity has been allocated or linked to a specific type of territory within a defined territorial classification system.
  • C. assignedTo
    Indicates that responsibility for a task, item, or role has been designated to a specific entity.
  • D. assignedUnder
    Indicates that one entity has been given responsibility, duty, or authority to act within the scope, supervision, or framework defined by another entity.
  • E. assignedAs
    Indicates that one entity is designated or appointed to perform a specific role, task, or function in relation to another entity.
  • 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_69ef5382b9648190be0b1ef2ad5d043c completed April 27, 2026, 12:16 p.m.
NER Named-entity recognition batch_69f6359e3d3c81909814e2f0a7fb0ea9 completed May 2, 2026, 5:34 p.m.
PD Predicate disambiguation batch_69f631871c888190bf29466fe4254e51 completed May 2, 2026, 5:16 p.m.
Created at: April 27, 2026, 1:07 p.m.