Triple

T25457416
Position Surface form Disambiguated ID Type / Status
Subject Flitch of bacon tradition E637948 entity
Predicate usesJury P38082 FINISHED
Object local jury 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: local jury | Statement: [Flitch of bacon tradition, usesJury, local jury]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesJury
Context triple: [Flitch of bacon tradition, usesJury, local jury]
  • A. usesJuries chosen
    Indicates that a legal system, court, or process employs juries to participate in deciding cases or determining outcomes.
  • B. hasJurors
    Indicates that one entity serves as or includes jurors in relation to another entity, typically in the context of a legal case or proceeding.
  • C. hasJuror
    Indicates that a person or legal body is assigned or associated with a specific juror in a judicial context.
  • D. hasJuryType
    Indicates that an entity is associated with, or classified by, a specific type or category of jury.
  • E. hasSubJuries
    Indicates that an entity (typically a main jury or committee) is composed of or associated with one or more subordinate juries.
  • 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_69e75db8bab08190baca80b4a8c315fd completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f5f72884408190b586de6cd827e1d4 completed May 2, 2026, 1:07 p.m.
PD Predicate disambiguation batch_69f4683b34748190818428489a226124 completed May 1, 2026, 8:45 a.m.
Created at: April 21, 2026, 2:10 p.m.