Triple

T6991507
Position Surface form Disambiguated ID Type / Status
Subject B programming language E162095 entity
Predicate predecessor P97 FINISHED
Object BCPL E51010 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: BCPL | Statement: [B programming language, predecessor, BCPL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BCPL
Context triple: [B programming language, predecessor, BCPL]
  • A. BCPL chosen
    BCPL (Basic Combined Programming Language) is an early, typeless systems programming language developed in the 1960s that significantly influenced the design of the C programming language.
  • B. 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.
  • C. 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.
  • D. Algol W
    Algol W is a block-structured, high-level programming language designed by Niklaus Wirth as a successor to ALGOL 60, incorporating features that influenced the later development of Pascal and other languages.
  • E. Algol 68S
    Algol 68S is a simplified subset of the Algol 68 programming language designed to make the language easier to implement and use.
  • 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_69c68856d7808190ab33ee914640281b completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dbc1f63c8190837cfd71cf5ed613 completed March 27, 2026, 7:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69c76a110ca08190be2aa78948379495 completed March 28, 2026, 5:41 a.m.
Created at: March 27, 2026, 2:32 p.m.