Triple

T10171193
Position Surface form Disambiguated ID Type / Status
Subject Afro-Eurasia E235333 entity
Predicate containsWorldPopulationShareApproximate P1880 FINISHED
Object 0.85 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: 0.85 | Statement: [Afro-Eurasia, containsWorldPopulationShareApproximate, 0.85]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: containsWorldPopulationShareApproximate
Context triple: [Afro-Eurasia, containsWorldPopulationShareApproximate, 0.85]
  • A. coversShareOfWorldPopulation chosen
    Indicates that something accounts for or includes a specified proportion of the total human population worldwide.
  • B. hasPopulationApproximate
    Indicates that an entity has an estimated or approximate population size, rather than an exact count.
  • C. populationScale
    Indicates the relative size or magnitude of a population, typically categorizing it into broad scale levels (e.g., small, medium, large).
  • D. demographicScope
    Indicates the specific population group or demographic segment to which something (e.g., a policy, study, product, or service) is targeted or applicable.
  • E. countryWithSignificantPopulation
    Indicates that a country has a notably large or impactful number of people, relative to some defined threshold or comparison set.
  • 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_69ca84ceafd0819085828600e11bed6b completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdec9e4e0c819097dceb7bf7757948 completed April 2, 2026, 4:12 a.m.
PD Predicate disambiguation batch_69cd4ba9956c8190a3e15d091e33149d completed April 1, 2026, 4:45 p.m.
Created at: March 30, 2026, 9:10 p.m.