Triple

T35157995
Position Surface form Disambiguated ID Type / Status
Subject A Contribution to the Critique of Political Economy E1015180 entity
Predicate inPrefaceFormulates P91040 FINISHED
Object base–superstructure model of society 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: base–superstructure model of society | Statement: [A Contribution to the Critique of Political Economy, inPrefaceFormulates, base–superstructure model of society]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: inPrefaceFormulates
Context triple: [A Contribution to the Critique of Political Economy, inPrefaceFormulates, base–superstructure model of society]
  • A. formsPreambleOf chosen
    Indicates that one element serves as the introductory or preface section to another, typically larger, document or text.
  • B. hasPrefaceBy
    Indicates that a work includes a preface written by a specified person.
  • C. hasPreface
    Indicates that a work includes a preface section associated with it.
  • D. laterPrefaceYear
    Indicates that the preface associated with one entity was written or published in a later year than the preface associated with another entity.
  • E. preludeTo
    Indicates that one event, action, or state occurs earlier and serves as an introduction or lead-in to another.
  • 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_69f76ddb3a708190b521ba2970b17178 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78cf39b9c81909268933e60276acf completed May 3, 2026, 5:59 p.m.
PD Predicate disambiguation batch_69f78b9106008190930b3b3675b737d6 completed May 3, 2026, 5:53 p.m.
Created at: May 3, 2026, 4:02 p.m.