Triple

T186632
Position Surface form Disambiguated ID Type / Status
Subject Japan Federation of Bar Associations E3994 entity
Predicate aims P79 FINISHED
Object to maintain the dignity and independence of attorneys in Japan 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: to maintain the dignity and independence of attorneys in Japan | Statement: [Japan Federation of Bar Associations, aims, to maintain the dignity and independence of attorneys in Japan]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: aims
Context triple: [Japan Federation of Bar Associations, aims, to maintain the dignity and independence of attorneys in Japan]
  • A. purpose chosen
    Indicates that one entity exists, is done, or is used in order to achieve, support, or serve the goal, function, or intended outcome of another entity.
  • B. target
    Indicates that one entity is the intended object, goal, or focus of another entity’s action or attention.
  • C. secondaryGoal
    Indicates that something serves as a subordinate or supporting objective in addition to a primary goal.
  • D. mission
    Indicates that an entity is assigned or engaged in a specific task, operation, or purpose-directed undertaking.
  • E. attracts
    Indicates that one entity exerts a force or influence that draws another entity toward it.
  • 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_69a25497e2f08190a040f8c6e1842643 completed Feb. 28, 2026, 2:36 a.m.
NER Named-entity recognition batch_69a2594809288190b3d3b1283e7e0d00 completed Feb. 28, 2026, 2:56 a.m.
PD Predicate disambiguation batch_69a25670feb081908e26a2543ebe7b3a completed Feb. 28, 2026, 2:44 a.m.
Created at: Feb. 28, 2026, 2:40 a.m.