Triple

T18256571
Position Surface form Disambiguated ID Type / Status
Subject Modula E437236 entity
Predicate influenced P9 FINISHED
Object Modula-2 NE NERFINISHED

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: Modula-2 | Statement: [Modula, influenced, Modula-2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Modula-2
Context triple: [Modula, influenced, Modula-2]
  • A. Modula-2 chosen
    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.
  • B. Mocka Modula-2
    Mocka Modula-2 is a well-known compiler and development system for the Modula-2 programming language, used primarily in academic and research contexts.
  • C. Modula
    Modula is a procedural programming language designed by Niklaus Wirth as a successor to Pascal, notable for its support of modular programming through explicit module constructs.
  • D. 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.
  • E. Oberon-2
    Oberon-2 is an object-oriented, statically typed programming language that extends Niklaus Wirth’s Oberon with features like type-bound procedures and read-only export while preserving simplicity and efficiency.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b913351c8190932b6a426de04b41 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4fd86e21081909c049082949b95c6 completed April 19, 2026, 4:06 p.m.
Created at: April 10, 2026, 10:34 a.m.