Triple

T7869553
Position Surface form Disambiguated ID Type / Status
Subject Phlegraean Fields volcanic system E182703 entity
Predicate populationExposed P54084 FINISHED
Object hundreds of thousands of people 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 people | Statement: [Phlegraean Fields volcanic system, populationExposed, hundreds of thousands of people]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: populationExposed
Context triple: [Phlegraean Fields volcanic system, populationExposed, hundreds of thousands of people]
  • A. estimatedAffectedPeople chosen
    Indicates the estimated number of people expected to be impacted by a particular event, condition, or action.
  • B. intendedCoveragePopulationShare
    Indicates the proportion of a total population that a product, service, or intervention is intended or planned to cover.
  • C. populationIncludes
    Indicates that a population contains or encompasses the specified individual(s) or subgroup(s) as members or elements.
  • D. targetedPopulation
    Indicates the group of individuals or entities that an action, intervention, or effect is specifically directed toward.
  • E. populationCount
    Indicates the total number of individuals in a specified group, area, or category.
  • 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_69ca82894d9081908a832bfce71a4714 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3848d6d88190830afcf04ad12154 completed March 31, 2026, 2:58 a.m.
PD Predicate disambiguation batch_69cae925ca388190ae4a01fa76e957e8 completed March 30, 2026, 9:20 p.m.
Created at: March 30, 2026, 4:55 p.m.