Triple

T32460069
Position Surface form Disambiguated ID Type / Status
Subject African American women E829544 entity
Predicate hasConceptualFramework P199337 FINISHED
Object intersectionality 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: intersectionality | Statement: [African American women, hasConceptualFramework, intersectionality]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasConceptualFramework
Context triple: [African American women, hasConceptualFramework, intersectionality]
  • A. usedAsConceptualFrameworkFor chosen
    Indicates that one entity serves as an underlying theoretical or conceptual structure that guides, organizes, or informs the analysis, interpretation, or design of another entity.
  • B. hasConceptualStructure
    Indicates that one entity embodies, organizes, or is characterized by a particular conceptual structure defined by another entity.
  • C. isConceptual
    Indicates that something exists as an abstract or theoretical idea rather than as a concrete, physical entity.
  • D. hasConceptualStatus
    Indicates that an entity holds a particular abstract, theoretical, or conceptual standing or classification within a given framework or context.
  • E. isConceptDriven
    Indicates that something is guided, shaped, or determined primarily by underlying concepts or abstract ideas rather than by practical details or direct experience.
  • 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_69f3491df9288190afc0b23b1d6e72ce completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_6a037c894b488190bcbec2eccaff4a01 completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a0379edf2d88190b492fca86ed23cac completed May 12, 2026, 7:05 p.m.
Created at: May 1, 2026, 12:57 a.m.