Triple

T36617899
Position Surface form Disambiguated ID Type / Status
Subject Labatt Blue Light E903653 entity
Predicate calorieClaim P99243 FINISHED
Object lower calories than regular lager 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: lower calories than regular lager | Statement: [Labatt Blue Light, calorieClaim, lower calories than regular lager]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: calorieClaim
Context triple: [Labatt Blue Light, calorieClaim, lower calories than regular lager]
  • A. hasCalories
    Indicates that an entity contains a specified amount of caloric energy.
  • B. calorieProfile
    Indicates the relationship between an entity and the detailed breakdown of its caloric characteristics, such as total calories and their distribution.
  • 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. limitsMacronutrient
    Indicates that one entity imposes a restriction or upper bound on the amount or proportion of a specific macronutrient associated with another entity.
  • E. hasNutrientContent
    Indicates that one entity contains or provides a specified amount or type of nutrient relative to another entity or standard.
  • 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_69f76e6960e4819092047756ceb9a17e completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7c777e924819081a6634f549fe552 completed May 3, 2026, 10:08 p.m.
PD Predicate disambiguation batch_69f7c477a4d481908f52e55b6688f60c completed May 3, 2026, 9:56 p.m.
Created at: May 3, 2026, 4:11 p.m.