Triple

T7665393
Position Surface form Disambiguated ID Type / Status
Subject Decorator E173611 entity
Predicate alsoKnownAs P39 FINISHED
Object Wrapper pattern E173611 NE 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: Wrapper pattern | Statement: [Decorator, alsoKnownAs, Wrapper pattern]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wrapper pattern
Context triple: [Decorator, alsoKnownAs, Wrapper pattern]
  • A. Adapter
    Adapter is a structural design pattern that allows incompatible interfaces to work together by converting the interface of one class into an interface expected by clients.
  • B. Template Method
    Template Method is a behavioral design pattern that defines the skeleton of an algorithm in a base class while allowing subclasses to override specific steps without changing the algorithm’s overall structure.
  • C. Factory Method
    Factory Method is a creational design pattern that defines an interface for creating objects while allowing subclasses to decide which concrete classes to instantiate, promoting loose coupling and extensibility.
  • D. Ultrawrap
    Ultrawrap is an Ontology-Based Data Access (OBDA) system that enables querying relational databases through an ontology-driven, semantic layer.
  • E. Decorator chosen
    The Decorator is a structural design pattern that allows behavior to be dynamically added to individual objects by wrapping them in flexible, reusable decorator classes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c699562484819086752091e3164a27 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c701bfb67c81908b416802eaf0faac completed March 27, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89b1fdccc8190a69b4745dc3b2347 completed March 29, 2026, 3:23 a.m.
Created at: March 27, 2026, 4 p.m.