Triple

T13184867
Position Surface form Disambiguated ID Type / Status
Subject Scotchmallow E313822 entity
Predicate textureContrast P108941 FINISHED
Object soft center with firm chocolate shell 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: soft center with firm chocolate shell | Statement: [Scotchmallow, textureContrast, soft center with firm chocolate shell]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: textureContrast
Context triple: [Scotchmallow, textureContrast, soft center with firm chocolate shell]
  • A. contrastEffect
    Indicates that one entity’s characteristics are perceived or evaluated differently because they are compared or juxtaposed with another entity.
  • B. achievesContrast
    Indicates that one entity creates or enhances a visual or conceptual difference relative to another entity.
  • C. tempoContrast
    Indicates a relationship where two musical passages or sections differ in tempo, highlighting a contrast in their speed or pacing.
  • D. albedoContrast
    Indicates the degree to which two surfaces or regions differ in their reflectivity (albedo), typically highlighting contrast in brightness.
  • E. createsContrastIn
    Indicates a relationship where one element is used to highlight or emphasize differences with another element within a given context.
  • F. None of above. chosen

Provenance (4 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_69d806ae1e08819090d95bfe1538cc17 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98cf054f88190b05ced98d5a22a62 completed April 10, 2026, 11:51 p.m.
PD Predicate disambiguation batch_69d98bc2c0c88190be357811aa8e828d completed April 10, 2026, 11:46 p.m.
PDg Predicate description generation batch_69d98ceeb22c8190a6be666031d9e5a4 completed April 10, 2026, 11:51 p.m.
Created at: April 9, 2026, 9:15 p.m.