Triple

T1117804
Position Surface form Disambiguated ID Type / Status
Subject Modula-2 E11139 entity
Predicate influenced P9 FINISHED
Object Ada (module concepts) E8676 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: Ada (module concepts) | Statement: [Modula-2, influenced, Ada (module concepts)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ada (module concepts)
Context triple: [Modula-2, influenced, Ada (module concepts)]
  • A. Ada (programming language) chosen
    Ada is a statically typed, high-level programming language designed with strong support for reliability, safety, and real-time systems, widely used in mission-critical and embedded applications such as aerospace and defense.
  • B. ObjectAda
    ObjectAda is a commercial, object-oriented Ada development environment and compiler suite used for building and maintaining Ada applications.
  • C. Modula-3
    Modula-3 is a systems programming language designed as a safer, more modern successor to Modula-2, emphasizing strong typing, modularity, and support for concurrency and garbage collection.
  • D. Modula-2
    Modula-2 is a systems programming language designed by Niklaus Wirth that extends Pascal with modules, concurrency features, and low-level facilities for structured, efficient software development.
  • E. Algol 68R
    Algol 68R is a revised, more practical and implementable version of the Algol 68 programming language, created to simplify and clarify the original language’s complex design.
  • 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_69a493252a648190ac48f8742474a5e8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4bba425a8819099116e479552332e completed March 1, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac53999b3c8190aff1cf84a3c16909 completed March 7, 2026, 4:34 p.m.
Created at: March 1, 2026, 7:43 p.m.