Triple

T22517021
Position Surface form Disambiguated ID Type / Status
Subject DayTime IPA E556674 entity
Predicate caloriesPerServing P51659 FINISHED
Object 98 calories (per 12 oz) 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: 98 calories (per 12 oz) | Statement: [DayTime IPA, caloriesPerServing, 98 calories (per 12 oz)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: caloriesPerServing
Context triple: [DayTime IPA, caloriesPerServing, 98 calories (per 12 oz)]
  • A. hasCalories chosen
    Indicates that an entity contains a specified amount of caloric energy.
  • B. commonServingSize
    Indicates that two or more food items share the same standard or typical serving size used for comparison or labeling.
  • C. calorieLevel
    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. marketedAsServing
    Indicates that something is promoted or advertised as providing service to a particular audience, purpose, or function.
  • E. carbohydratesPer12Ounces
    Indicates the amount of carbohydrates contained in a 12-ounce serving of a given item.
  • 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_69e11e5657e881909f16ca58352c50da completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15e2df59c81909c4ae2f20f1cbb32 completed April 29, 2026, 1:26 a.m.
PD Predicate disambiguation batch_69ee625e3b408190a60c759fb0b28fe2 completed April 26, 2026, 7:07 p.m.
Created at: April 16, 2026, 8:50 p.m.