Triple

T13599545
Position Surface form Disambiguated ID Type / Status
Subject Nonconformism in England E324907 entity
Predicate hadDemographicBase P58704 FINISHED
Object urban middle classes in England 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: urban middle classes in England | Statement: [Nonconformism in England, hadDemographicBase, urban middle classes in England]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hadDemographicBase
Context triple: [Nonconformism in England, hadDemographicBase, urban middle classes in England]
  • A. hasDemographic
    Indicates that an entity is associated with or characterized by a particular demographic group or attribute.
  • B. demographicBasis chosen
    Indicates that something is determined, classified, or justified based on demographic characteristics such as age, gender, ethnicity, or similar population attributes.
  • C. demographics
    Indicates the relationship of providing or characterizing statistical information about a population’s attributes, such as age, gender, income, or education.
  • D. demographicsDescriptor
    Indicates a descriptive attribute or classification that characterizes the demographic properties of an entity or group.
  • E. demographicsNote
    Indicates that there is an associated note or commentary describing demographic-related information about an entity.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb0795acc8190a08667ab9dcb0d44 completed April 12, 2026, 2:47 p.m.
PD Predicate disambiguation batch_69dbae18eaf48190809e8b365856cde9 completed April 12, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:49 p.m.