Triple

T11687821
Position Surface form Disambiguated ID Type / Status
Subject Monroe metropolitan area E277787 entity
Predicate statisticalPurpose P101260 FINISHED
Object standardized regional comparison 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: standardized regional comparison | Statement: [Monroe metropolitan area, statisticalPurpose, standardized regional comparison]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: statisticalPurpose
Context triple: [Monroe metropolitan area, statisticalPurpose, standardized regional comparison]
  • A. statisticalType
    Indicates that one entity specifies the kind or category of statistical characterization or measurement that applies to another entity.
  • B. statisticsConsidered
    Indicates that certain statistics are taken into account or used as a basis in a decision, analysis, or evaluation involving the related entities.
  • C. statisticalDefinitionUsedBy
    Indicates that a particular statistical definition is employed or applied by a given entity (such as a method, model, or analysis).
  • D. statisticalImpact
    Indicates that one entity has a measurable effect on the statistical properties, outcomes, or metrics associated with another entity.
  • E. statisticNote
    Indicates that there is an explanatory note or comment providing additional context or clarification about a reported statistic.
  • 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_69d6aafe02d881909900d54ad7d4af84 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4654be881909bd0256cf18e25de completed April 10, 2026, 7:19 a.m.
PD Predicate disambiguation batch_69d88a7b30948190b616a9db5c5488d5 completed April 10, 2026, 5:28 a.m.
PDg Predicate description generation batch_69d89546a8688190b51455b5e12caf91 completed April 10, 2026, 6:14 a.m.
Created at: April 8, 2026, 9:40 p.m.