Triple

T32143373
Position Surface form Disambiguated ID Type / Status
Subject Central African Republic conflict E820962 entity
Predicate refugeeEstimate P1943 FINISHED
Object hundreds of thousands of refugees in neighboring countries LITERAL FINISHED

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: hundreds of thousands of refugees in neighboring countries | Statement: [Central African Republic conflict, refugeeEstimate, hundreds of thousands of refugees in neighboring countries]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: refugeeEstimate
Context triple: [Central African Republic conflict, refugeeEstimate, hundreds of thousands of refugees in neighboring countries]
  • A. displacedPeopleEstimate chosen
    Indicates an estimated number of people who have been forced to leave their homes or usual places of residence due to a particular event or situation.
  • B. hasRefugeePopulation
    Indicates that an entity hosts, contains, or is associated with a population of refugees.
  • C. approximateNumberOfRefugeesTransported
    Indicates an estimated count of refugees who were transported in the described event or context.
  • D. estimatedEmigrants
    Indicates the estimated number of people who have left a place or country to live elsewhere.
  • E. refugeesDisplacedSince
    Indicates the number of refugees who have been forced to leave their homes since a specified point in time.
  • 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_69f3490520d081909b2f1271dab75faa completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6b9af93e081908d003dd45258ad27 completed May 3, 2026, 2:57 a.m.
PD Predicate disambiguation batch_69f6b3a970b0819090c6473844ffa8e3 completed May 3, 2026, 2:32 a.m.
Created at: May 1, 2026, 12:31 a.m.