Triple

T575113
Position Surface form Disambiguated ID Type / Status
Subject Java E13745 entity
Predicate concurrencyModel P5328 FINISHED
Object thread-based concurrency 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: thread-based concurrency | Statement: [Java, concurrencyModel, thread-based concurrency]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: concurrencyModel
Context triple: [Java, concurrencyModel, thread-based concurrency]
  • A. executionModel chosen
    Indicates how a process, task, or operation is carried out or implemented, specifying the underlying method, strategy, or mechanism of its execution.
  • B. memoryModel
    Indicates a relationship where an entity serves as or uses a specific model or framework for representing, organizing, or managing memory.
  • C. operatingModel
    Indicates how an organization structures and manages its processes, resources, and governance to deliver its products or services.
  • D. convergenceProperty
    Indicates that one entity has a convergence-related characteristic or behavior with respect to another entity, such as approaching a limit or stabilizing under repeated application.
  • E. participationModel
    Indicates how entities are involved in or contribute to an activity, process, or interaction.
  • 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_69a4933fa4d88190a7949cc83c08c5c1 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49b4c23548190a3b883239c7c78c8 completed March 1, 2026, 8:02 p.m.
PD Predicate disambiguation batch_69a494c4969c819080375d08f9eec50c completed March 1, 2026, 7:34 p.m.
Created at: March 1, 2026, 7:33 p.m.