Triple

T23663646
Position Surface form Disambiguated ID Type / Status
Subject Pontefract cake E584516 entity
Predicate mayHaveHealthConsideration P4720 FINISHED
Object excessive consumption of liquorice can affect blood pressure 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: excessive consumption of liquorice can affect blood pressure | Statement: [Pontefract cake, mayHaveHealthConsideration, excessive consumption of liquorice can affect blood pressure]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mayHaveHealthConsideration
Context triple: [Pontefract cake, mayHaveHealthConsideration, excessive consumption of liquorice can affect blood pressure]
  • A. hasHealthWarningOnPackaging
    Indicates that an item’s packaging displays a health-related warning message or symbol.
  • B. hasHealthConcern chosen
    Indicates that an entity has a specific health-related issue, condition, or concern associated with it.
  • C. dietaryConsideration
    Indicates a relationship where one entity specifies nutritional restrictions, preferences, or requirements that should be taken into account for another entity.
  • D. mayHaveRestriction
    Indicates that an entity can be subject to one or more limitations, conditions, or constraints, though such restrictions are not necessarily present.
  • E. hasRiskFactorFor
    Indicates that one entity contributes to or increases the likelihood of another entity experiencing a particular risk or adverse outcome.
  • 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_69e248ffc0888190ae23c4731eb8b7ac completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1b40a1284819087cd29c9c390549d completed April 29, 2026, 7:32 a.m.
PD Predicate disambiguation batch_69f118dd13008190a8799b4e9cadbd79 completed April 28, 2026, 8:30 p.m.
Created at: April 17, 2026, 6:50 p.m.