Triple

T31846
Position Surface form Disambiguated ID Type / Status
Subject Birmingham, Alabama E635 entity
Predicate metropolitanAreaPopulation P1070 FINISHED
Object over 1100000 (early 2020s) 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: over 1100000 (early 2020s) | Statement: [Birmingham, Alabama, metropolitanAreaPopulation, over 1100000 (early 2020s)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: metropolitanAreaPopulation
Context triple: [Birmingham, Alabama, metropolitanAreaPopulation, over 1100000 (early 2020s)]
  • A. metropolitanAreaPopulationApproximate chosen
    Indicates that the predicate specifies an approximate total population size for a given metropolitan area.
  • B. cityPopulationContext
    Indicates the contextual relationship between a city and information about its population, such as size, distribution, or demographic characteristics.
  • C. largestMetropolitanArea
    Indicates that one entity is the largest metropolitan area associated with, contained within, or relevant to another entity, typically by population or spatial extent.
  • D. populationDensity
    Indicates the number of individuals or entities occupying a unit area within a given region.
  • E. population
    Indicates the total number of individuals living in or present within a specified area or group.
  • 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_69a2479dec388190967ba648663442c9 completed Feb. 28, 2026, 1:40 a.m.
NER Named-entity recognition batch_69a249ec0d288190ac3a0939db61813b completed Feb. 28, 2026, 1:50 a.m.
PD Predicate disambiguation batch_69a24870417081909c7c01e400c94716 completed Feb. 28, 2026, 1:44 a.m.
Created at: Feb. 28, 2026, 1:44 a.m.