Triple

T12284798
Position Surface form Disambiguated ID Type / Status
Subject Mai Tai E292801 entity
Predicate usesGarnish P56695 FINISHED
Object mint sprig 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: mint sprig | Statement: [Mai Tai, usesGarnish, mint sprig]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesGarnish
Context triple: [Mai Tai, usesGarnish, mint sprig]
  • A. isTypicallyGarnishedWith chosen
    Indicates that one item is commonly used as a garnish or decorative finishing element for another.
  • B. usesIngredient
    Indicates that one entity employs or incorporates another entity as an ingredient in its composition or creation.
  • C. culinaryUse
    Indicates that one entity is used in the preparation, flavoring, or serving of food or drink for another entity.
  • D. hasGravy
    Indicates that one entity is accompanied by, covered with, or served with gravy in relation to another entity or context.
  • E. servesWith
    Indicates that one entity is customarily presented, used, or consumed together with another as a complementary accompaniment.
  • 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_69d6ab690ad081908c0ed3870ec82d53 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d9261e1570819084bb4fdb44aa6aea completed April 10, 2026, 4:32 p.m.
PD Predicate disambiguation batch_69d91c4d9a9c8190aeb7beaf9792d8f0 completed April 10, 2026, 3:50 p.m.
Created at: April 8, 2026, 9:52 p.m.