Triple

T5052144
Position Surface form Disambiguated ID Type / Status
Subject Barker–Karpis gang E113809 entity
Predicate operationalStyle P26963 FINISHED
Object mobile bank robbery crew 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: mobile bank robbery crew | Statement: [Barker–Karpis gang, operationalStyle, mobile bank robbery crew]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: operationalStyle
Context triple: [Barker–Karpis gang, operationalStyle, mobile bank robbery crew]
  • A. operatorStyle
    Indicates the manner or approach an operator uses to perform or manage an operation, such as their method, technique, or behavioral style in carrying out tasks.
  • B. operatingPattern chosen
    Indicates the characteristic way in which an entity functions or operates over time, such as its typical mode, schedule, or behavioral pattern.
  • C. operatorStyleUS
    Indicates that the operator uses or conforms to a style, convention, or format specific to the United States.
  • D. operatingModel
    Indicates how an organization structures and manages its processes, resources, and governance to deliver its products or services.
  • E. operateIn
    Indicates that an entity performs its activities, functions, or services within a specified location, context, or domain.
  • 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_69bd443aa1f88190abb992d138f2cf42 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7428d7a88190b990aedae390acbe completed March 20, 2026, 4:22 p.m.
PD Predicate disambiguation batch_69bd715479f08190933604aebd34414f completed March 20, 2026, 4:09 p.m.
Created at: March 20, 2026, 1:37 p.m.