Triple

T14440413
Position Surface form Disambiguated ID Type / Status
Subject Beta (programming language) E358070 entity
Predicate designedAsSuccessorTo P16897 FINISHED
Object Simula E72066 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: Simula | Statement: [Beta (programming language), designedAsSuccessorTo, Simula]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Simula
Context triple: [Beta (programming language), designedAsSuccessorTo, Simula]
  • A. Simula chosen
    Simula is an early high-level programming language from the 1960s that pioneered object-oriented programming concepts such as classes and objects.
  • B. Algol 68 Genie
    Algol 68 Genie is a modern, open-source implementation of the Algol 68 programming language designed for contemporary systems and practical use.
  • C. Algol 68S
    Algol 68S is a simplified subset of the Algol 68 programming language designed to make the language easier to implement and use.
  • D. Algol 68
    Algol 68 is a high-level, structured programming language from the ALGOL family, notable for its orthogonal design and influence on many later languages.
  • E. Algol 68C
    Algol 68C is a compiler implementation of the Algol 68 programming language, designed to translate its advanced structured constructs into executable machine code.
  • 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_69d8279402a88190821ffa39ae15bccf completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de914c1398819090fa2a74d257ba3e completed April 14, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8aa904c08190b33796b832aa100f completed May 8, 2026, 7:03 a.m.
Created at: April 10, 2026, 1:18 a.m.