Triple

T35947847
Position Surface form Disambiguated ID Type / Status
Subject Heimia E1039631 entity
Predicate hasTraditionalPreparation P124351 FINISHED
Object infusion of leaves 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: infusion of leaves | Statement: [Heimia, hasTraditionalPreparation, infusion of leaves]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTraditionalPreparation
Context triple: [Heimia, hasTraditionalPreparation, infusion of leaves]
  • A. traditionalPreparation
    Indicates that something is prepared or made using customary, long-established methods or techniques associated with a particular culture or practice.
  • B. hasTraditionalRecipe chosen
    Indicates that there exists a customary or historically established method of preparation associated with the subject.
  • C. typeOfPreparation
    Indicates the method or process by which something is prepared or made ready for use, consumption, or further action.
  • D. traditionalProductionMethod
    Indicates that something is created or carried out using long-established, customary techniques rather than modern or industrial methods.
  • E. hasTraditionalFormIn
    Indicates that something possesses a customary or historically established form or representation within a specified context, system, or location.
  • 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_69f76e25ea488190b7cee970b3e70382 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69ffc89596d08190b97bd60b45c7f9c0 completed May 9, 2026, 11:51 p.m.
PD Predicate disambiguation batch_69ffc81ba5dc8190ae94d44e2284948f completed May 9, 2026, 11:49 p.m.
Created at: May 3, 2026, 4:07 p.m.