Triple

T23152235
Position Surface form Disambiguated ID Type / Status
Subject Age of Settlement E578349 entity
Predicate hasDemographicProcess P151124 FINISHED
Object migration from Norway 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: migration from Norway | Statement: [Age of Settlement, hasDemographicProcess, migration from Norway]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasDemographicProcess
Context triple: [Age of Settlement, hasDemographicProcess, migration from Norway]
  • A. hasDemographic
    Indicates that an entity is associated with or characterized by a particular demographic group or attribute.
  • B. hasDemographicPattern
    Indicates that there is a characteristic distribution or trend of attributes (such as age, gender, income, or ethnicity) within a population or group.
  • C. hasDemographicPresenceIn
    Indicates that a particular demographic group exists or is represented within a specified geographic area or population context.
  • D. demographicBasis
    Indicates that something is determined, classified, or justified based on demographic characteristics such as age, gender, ethnicity, or similar population attributes.
  • E. demographicImpact
    Indicates how an action, event, or condition affects the size, structure, or composition of a population.
  • F. None of above. chosen

Provenance (4 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_69f18ef982488190984a6358bdcd577c completed April 29, 2026, 4:54 a.m.
PD Predicate disambiguation batch_69ef89f83b108190aaaa1db6221fc163 completed April 27, 2026, 4:08 p.m.
PDg Predicate description generation batch_69ef9b7494f4819088ae59ea3d0ae8ab completed April 27, 2026, 5:23 p.m.
Created at: April 17, 2026, 4:01 p.m.