Triple

T26553674
Position Surface form Disambiguated ID Type / Status
Subject Malmsey E671745 entity
Predicate canBeAgedIn P106670 FINISHED
Object cask 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: cask | Statement: [Malmsey, canBeAgedIn, cask]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: canBeAgedIn
Context triple: [Malmsey, canBeAgedIn, cask]
  • A. mayBeAgedIn chosen
    Indicates that an entity has the potential or option to undergo an aging or maturation process in a specified medium, container, or environment.
  • B. canAge
    Indicates that one entity has the capability or property of undergoing aging over time.
  • C. canAgeFor
    Indicates that one entity is capable of undergoing an aging or maturation process for the benefit, use, or context of another entity.
  • D. hasAge
    Indicates that an entity possesses a specific age value, typically expressed as a number of time units since its birth or creation.
  • E. containsAge
    Indicates that one entity includes or specifies the age value or age-related information of another entity.
  • 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_69eeb32163f08190af5f81282738e27a completed April 27, 2026, 12:51 a.m.
NER Named-entity recognition batch_69f6c49627908190b3553474c7c3072b completed May 3, 2026, 3:44 a.m.
PD Predicate disambiguation batch_69f6c3f23ae081909a52801266063a3c completed May 3, 2026, 3:41 a.m.
Created at: April 27, 2026, 1:48 a.m.