Triple

T3760768
Position Surface form Disambiguated ID Type / Status
Subject All of Us Research Program (genomics components) E82153 entity
Predicate populationFocus P50793 FINISHED
Object diverse U.S. population 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: diverse U.S. population | Statement: [All of Us Research Program (genomics components), populationFocus, diverse U.S. population]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: populationFocus
Context triple: [All of Us Research Program (genomics components), populationFocus, diverse U.S. population]
  • A. population
    Indicates the total number of individuals living in or present within a specified area or group.
  • B. populationScale
    Indicates the relative size or magnitude of a population, typically categorizing it into broad scale levels (e.g., small, medium, large).
  • C. populationIncludes
    Indicates that a population contains or encompasses the specified individual(s) or subgroup(s) as members or elements.
  • D. populationDemonym
    Indicates the term used to refer to the people or inhabitants associated with a particular place or region.
  • E. populationConcentration
    Indicates the degree to which a population is densely gathered or distributed within a specific area or region.
  • 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_69ad8b1db40081908b61ffa6b78afd4d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcbc553a08190ba361675901496ed completed March 8, 2026, 7:19 p.m.
PD Predicate disambiguation batch_69adc04c851c8190ae5eaebf36df539b completed March 8, 2026, 6:30 p.m.
PDg Predicate description generation batch_69adc0fe3e3c8190bd886c7745c172a0 completed March 8, 2026, 6:33 p.m.
Created at: March 8, 2026, 3:35 p.m.