Triple

T28485984
Position Surface form Disambiguated ID Type / Status
Subject Psychology from an Empirical Standpoint E720832 entity
Predicate classifiesMentalPhenomenaInto P100400 FINISHED
Object presentations 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: presentations | Statement: [Psychology from an Empirical Standpoint, classifiesMentalPhenomenaInto, presentations]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: classifiesMentalPhenomenaInto
Context triple: [Psychology from an Empirical Standpoint, classifiesMentalPhenomenaInto, presentations]
  • A. cognitiveTraits
    Indicates that one entity possesses or is characterized by particular mental abilities, tendencies, or styles of thinking in relation to another entity or context.
  • B. classificationAccordingTo chosen
    Indicates that an entity is assigned a particular class, type, or category as defined or determined by a specified source, standard, or authority.
  • C. hasBrainCharacteristic
    Indicates that an entity possesses a specific feature, quality, or attribute related to the brain.
  • D. inferredPhenomenon
    Indicates that a phenomenon has been deduced or derived from available data, evidence, or reasoning rather than being directly observed.
  • E. classificationTerm
    Indicates that one entity serves as a categorical label or type used to classify or group another 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_69f01a5a47148190b0a7e111bc432e0a completed April 28, 2026, 2:24 a.m.
NER Named-entity recognition batch_69f66d7765208190b87b1cc6d96a151c completed May 2, 2026, 9:32 p.m.
PD Predicate disambiguation batch_69f66abfdaf08190a55f14c70be6fd4d completed May 2, 2026, 9:21 p.m.
Created at: April 28, 2026, 2:58 a.m.