Triple

T416553
Position Surface form Disambiguated ID Type / Status
Subject Partition of India E8004 entity
Predicate estimatedDisplacedPersons P1943 FINISHED
Object around 10 million 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: around 10 million | Statement: [Partition of India, estimatedDisplacedPersons, around 10 million]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: estimatedDisplacedPersons
Context triple: [Partition of India, estimatedDisplacedPersons, around 10 million]
  • 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. civilianDisplacement
    Indicates the forced or compelled movement of civilian populations from their homes or usual places of residence, typically due to conflict, violence, or persecution.
  • C. numberOfEvacuated
    Indicates the total count of individuals who have been evacuated from a location or situation.
  • D. hasRefugeePopulation
    Indicates that an entity hosts, contains, or is associated with a population of refugees.
  • E. estimatedNumberOfPeopleSaved
    Indicates the approximate count of individuals whose lives were preserved or harm was averted as a result of a particular action, intervention, or 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_69a2e7f1d1bc81909cf2dc9754a3c334 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2eebde1d881908fb212bfba9d7c67 completed Feb. 28, 2026, 1:33 p.m.
PD Predicate disambiguation batch_69a2edd1ca148190a66bd8c5aad867d5 completed Feb. 28, 2026, 1:29 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.