Triple

T9635152
Position Surface form Disambiguated ID Type / Status
Subject Dependency Inversion Principle E232908 entity
Predicate typicalMechanism P84491 FINISHED
Object constructor injection 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: constructor injection | Statement: [Dependency Inversion Principle, typicalMechanism, constructor injection]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalMechanism
Context triple: [Dependency Inversion Principle, typicalMechanism, constructor injection]
  • A. relatedMechanism chosen
    Indicates a causal or functional connection where one entity serves as the mechanism or process through which another entity’s effect, behavior, or outcome is brought about.
  • B. mentionsMechanism
    Indicates that one entity explicitly refers to or describes the mechanism, process, or causal pathway by which another entity operates or produces an effect.
  • C. formationMechanism
    Indicates the process or mechanism by which something is formed, created, or brought into existence.
  • D. killMechanism
    Indicates the method or process by which one entity causes the death or destruction of another.
  • E. activationMechanism
    Indicates the process or method by which one entity initiates, triggers, or enables the activity or functioning of another entity.
  • 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_69ca848940cc8190b97cec654cb3bb4a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9b2a0e2c8190ab5aaa223b1e1cde completed April 1, 2026, 10:24 p.m.
PD Predicate disambiguation batch_69ccd5acfa5c8190aaba3cf548723604 completed April 1, 2026, 8:22 a.m.
Created at: March 30, 2026, 8:11 p.m.