Triple

T32136155
Position Surface form Disambiguated ID Type / Status
Subject Bulgur E820767 entity
Predicate glycemicIndex P99243 FINISHED
Object relatively low 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: relatively low | Statement: [Bulgur, glycemicIndex, relatively low]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: glycemicIndex
Context triple: [Bulgur, glycemicIndex, relatively low]
  • A. hasPrimaryCarbohydrate
    Indicates that one entity has another entity as its main or principal carbohydrate component.
  • B. isGlutenFree
    Indicates that something does not contain gluten and is suitable for individuals avoiding gluten in their diet.
  • C. calorieLevel chosen
    Indicates the relationship between an entity and the amount of calories it contains or provides, typically categorized by intensity or range (e.g., low, medium, high).
  • D. isBrittle
    Indicates that an entity has a tendency to break, crack, or shatter easily when subjected to stress or force, rather than deforming.
  • E. nutritionComponent
    Indicates that one entity is a nutritional constituent, ingredient, or component of another (typically a food, diet, or nutritional product).
  • 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_69f349039e0c819091c7a7d322e3f46d completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6b9a9bc4c8190a88918fc4f91136a completed May 3, 2026, 2:57 a.m.
PD Predicate disambiguation batch_69f6b3a970b0819090c6473844ffa8e3 completed May 3, 2026, 2:32 a.m.
Created at: May 1, 2026, 12:30 a.m.