Triple

T33751070
Position Surface form Disambiguated ID Type / Status
Subject Ginjinha E864842 entity
Predicate isUsuallyMadeBy P21334 FINISHED
Object maceration of sour cherries in alcohol 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: maceration of sour cherries in alcohol | Statement: [Ginjinha, isUsuallyMadeBy, maceration of sour cherries in alcohol]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isUsuallyMadeBy
Context triple: [Ginjinha, isUsuallyMadeBy, maceration of sour cherries in alcohol]
  • A. makerOf
    Indicates that one entity is the creator, producer, or manufacturer of another entity.
  • B. madeBy chosen
    Indicates that something is created, produced, or brought into existence by a particular agent or source.
  • C. manufacturedBy
    Indicates that an item or product is produced or created by a specific manufacturer or maker.
  • D. madeWith
    Indicates that one entity is created, produced, or constructed using another entity as a material, ingredient, or component.
  • E. isProducedFrom
    Indicates that something is created, generated, or derived from a specified source or input.
  • 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_69f3498c35f881909df279ae4270f831 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6ffbad8848190867c2988c0ceb84f completed May 3, 2026, 7:56 a.m.
PD Predicate disambiguation batch_69f6fc5740fc81909774a4f65201a3ff completed May 3, 2026, 7:42 a.m.
Created at: May 1, 2026, 1:45 a.m.