Triple

T28748202
Position Surface form Disambiguated ID Type / Status
Subject Villa Soldati E731436 entity
Predicate hasSocioeconomicCharacter P74725 FINISHED
Object working-class 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: working-class | Statement: [Villa Soldati, hasSocioeconomicCharacter, working-class]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSocioeconomicCharacter
Context triple: [Villa Soldati, hasSocioeconomicCharacter, working-class]
  • A. hasSocioEconomicContext chosen
    Indicates the broader social and economic conditions or circumstances within which an entity, event, or relationship occurs or is interpreted.
  • B. hasSocioeconomicIssue
    Indicates that an entity is affected by, associated with, or involved in a socioeconomic problem or challenge.
  • C. hasOnScreenSocioeconomicStatus
    Indicates that an entity is depicted or characterized with a particular socioeconomic status within an on-screen or audiovisual context.
  • D. socioEconomicBase
    Indicates a foundational socio-economic relationship where one entity serves as the economic or social basis, support, or underlying structure for another.
  • E. hasEconomicLevel
    Indicates that one entity possesses, is classified by, or is associated with a particular economic status or level.
  • 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_69f043ecb5c081909ec9da1172d68ece completed April 28, 2026, 5:21 a.m.
NER Named-entity recognition batch_69f6fb19063c81909466b329655c8583 completed May 3, 2026, 7:36 a.m.
PD Predicate disambiguation batch_69f6f969b4cc8190afb473a2d8b110bc completed May 3, 2026, 7:29 a.m.
Created at: April 28, 2026, 6:06 a.m.