Triple

T28998568
Position Surface form Disambiguated ID Type / Status
Subject Jakarta EE MVC frameworks E736229 entity
Predicate separatesConcern P167391 FINISHED
Object business logic 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: business logic | Statement: [Jakarta EE MVC frameworks, separatesConcern, business logic]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: separatesConcern
Context triple: [Jakarta EE MVC frameworks, separatesConcern, business logic]
  • A. separates
    Indicates that one entity divides, parts, or keeps other entities apart from each other.
  • B. separatedFunctionFrom
    Indicates that one entity has been detached or removed from performing a particular function or role in relation to another entity.
  • C. encapsulation
    Indicates that one entity encloses, contains, or wraps another entity or set of details within a defined boundary, often hiding internal structure from external access.
  • D. componentPrinciple
    Indicates that one entity serves as a fundamental component or underlying principle that structurally or conceptually supports or governs another entity.
  • E. separatesPlanningSystemFrom
    Indicates that one entity establishes or maintains a clear division between a planning system and another component, layer, or concern.
  • F. None of above. chosen

Provenance (4 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_69f077eacd0481908ef0bafd74491cd0 completed April 28, 2026, 9:03 a.m.
NER Named-entity recognition batch_69f66a6468ec8190a43ed6cd8c797f42 completed May 2, 2026, 9:19 p.m.
PD Predicate disambiguation batch_69f6659b62fc8190b21555d0ba54db2d completed May 2, 2026, 8:59 p.m.
PDg Predicate description generation batch_69f6691da93081909deaf680614fc900 completed May 2, 2026, 9:14 p.m.
Created at: April 28, 2026, 9:33 a.m.