Triple

T1449127
Position Surface form Disambiguated ID Type / Status
Subject Urakami district of Nagasaki E31247 entity
Predicate historicalPopulationImpact P11966 FINISHED
Object large proportion of local residents killed or injured in 1945 bombing 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: large proportion of local residents killed or injured in 1945 bombing | Statement: [Urakami district of Nagasaki, historicalPopulationImpact, large proportion of local residents killed or injured in 1945 bombing]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: historicalPopulationImpact
Context triple: [Urakami district of Nagasaki, historicalPopulationImpact, large proportion of local residents killed or injured in 1945 bombing]
  • A. historicalImpact
    Indicates the influence or lasting effects that an entity, event, or action has had on subsequent history or historical developments.
  • B. demographicImpact
    Indicates how an action, event, or condition affects the size, structure, or composition of a population.
  • C. historicalPopulationMovement
    Indicates the movement or migration of a population from one place to another during a specific historical period or event.
  • D. formerPopulation
    Indicates that an entity once had a certain population value or size during a past time period but no longer does.
  • E. casualtiesImpact chosen
    Indicates how the number or severity of casualties affects or influences another factor, situation, or outcome.
  • 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_69a499171a28819085b993a3ac78e363 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c55c408c8190917ed44d9070a2fb completed March 1, 2026, 11:01 p.m.
PD Predicate disambiguation batch_69a4c47a840c819083307a65c027a19e completed March 1, 2026, 10:58 p.m.
Created at: March 1, 2026, 8 p.m.