Triple

T38035080
Position Surface form Disambiguated ID Type / Status
Subject New Mexico micropolitan areas E949327 entity
Predicate populationSizeComparedTo P54100 FINISHED
Object smaller than metropolitan areas 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: smaller than metropolitan areas | Statement: [New Mexico micropolitan areas, populationSizeComparedTo, smaller than metropolitan areas]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: populationSizeComparedTo
Context triple: [New Mexico micropolitan areas, populationSizeComparedTo, smaller than metropolitan areas]
  • A. populationScale
    Indicates the relative size or magnitude of a population, typically categorizing it into broad scale levels (e.g., small, medium, large).
  • B. relativePopulation chosen
    Indicates the comparative size of one population relative to another, typically expressing how large, small, or proportionate it is.
  • C. staffPopulationApprox
    Indicates an approximate or estimated number of staff associated with an entity.
  • D. populationCount
    Indicates the total number of individuals in a specified group, area, or category.
  • E. hostsPopulation
    Indicates that an entity serves as the living environment or container in which a particular population exists or resides.
  • 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_69f76eff0bb0819084bc4e63997bd039 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fde49a084081909d99b1e0258169d5 completed May 8, 2026, 1:26 p.m.
PD Predicate disambiguation batch_69fde1d04bd881909a46ecbbf18dfe59 completed May 8, 2026, 1:14 p.m.
Created at: May 3, 2026, 4:20 p.m.