Triple

T23156546
Position Surface form Disambiguated ID Type / Status
Subject Saint-Pierre E578453 entity
Predicate historicalPopulationLossCause P71532 FINISHED
Object pyroclastic flow from Mount Pelée 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: pyroclastic flow from Mount Pelée | Statement: [Saint-Pierre, historicalPopulationLossCause, pyroclastic flow from Mount Pelée]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: historicalPopulationLossCause
Context triple: [Saint-Pierre, historicalPopulationLossCause, pyroclastic flow from Mount Pelée]
  • A. populationLoss chosen
    Indicates a decrease in the number of individuals within a defined population over a given period or due to specific causes.
  • B. populationAfterDestruction
    Indicates the size or composition of a population following an event of destruction or devastation.
  • C. historicalPopulationMovement
    Indicates the movement or migration of a population from one place to another during a specific historical period or event.
  • D. populationBeforeDestruction
    Indicates the number of individuals in a place or group prior to its destruction or elimination.
  • E. notableDeathTollEvent
    Indicates that an event is characterized by causing an unusually large or historically significant number of deaths.
  • 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_69e245fb8de081908f0eba7b5fd75bc4 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18efd598c81908fba9d583e30660e completed April 29, 2026, 4:54 a.m.
PD Predicate disambiguation batch_69ef89ff76808190808ee4ad9dea776b completed April 27, 2026, 4:08 p.m.
Created at: April 17, 2026, 4:01 p.m.