Triple

T30631135
Position Surface form Disambiguated ID Type / Status
Subject 2017 Rohingya military operations in Rakhine State E779714 entity
Predicate destinationOfRefugees P94592 FINISHED
Object Bangladesh 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: Bangladesh | Statement: [2017 Rohingya military operations in Rakhine State, destinationOfRefugees, Bangladesh]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: destinationOfRefugees
Context triple: [2017 Rohingya military operations in Rakhine State, destinationOfRefugees, Bangladesh]
  • A. hasRefugeePopulation
    Indicates that an entity hosts, contains, or is associated with a population of refugees.
  • B. hasRefugeeMovements chosen
    Indicates that there are movements or flows of refugees involving the related entities, such as people fleeing from one place and arriving in another.
  • C. wasRefugee
    Indicates that an entity previously lived as a refugee, having been forced to leave their home country due to conflict, persecution, or disaster.
  • D. primaryRefugeeGroup
    Indicates that the referenced group is the main or principal group of refugees associated with a particular context, event, or record.
  • E. displacedPeopleEstimate
    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.
  • 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_69f224a431548190a44ad9d088dbf91f completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f68a1dcd78819099273961116ec9fe completed May 2, 2026, 11:34 p.m.
PD Predicate disambiguation batch_69f67e448a9c8190b591374d98799fe3 completed May 2, 2026, 10:44 p.m.
Created at: April 29, 2026, 8:28 p.m.