Triple

T8993150
Position Surface form Disambiguated ID Type / Status
Subject OS/VS1 E214837 entity
Predicate supportsProgrammingLanguage P1592 FINISHED
Object COBOL E204900 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: COBOL | Statement: [OS/VS1, supportsProgrammingLanguage, COBOL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: COBOL
Context triple: [OS/VS1, supportsProgrammingLanguage, COBOL]
  • A. COBOL chosen
    COBOL is a long-established, English-like programming language primarily used for business, finance, and administrative systems on mainframes and enterprise platforms.
  • B. PL/I
    PL/I is a high-level programming language developed by IBM in the 1960s that combines features from scientific, business, and systems programming languages into a single, general-purpose language.
  • C. CICS
    CICS is the College of Information and Computer Sciences at the University of Massachusetts Amherst, known for its research and education in computer science and related fields.
  • D. HLASM
    HLASM (High Level Assembler) is IBM's advanced assembler language and toolset used primarily for developing low-level system and application software on IBM mainframe platforms.
  • E. SNOBOL
    SNOBOL is an early high-level programming language from the 1960s known for its powerful pattern-matching and string-processing capabilities.
  • 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_69ca83a05c608190bdfdbdb25e994b39 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6876583081909d936dc3c3152587 completed April 1, 2026, 12:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd0cd2b948190947a26fe11ad81bf completed April 3, 2026, 2:38 p.m.
Created at: March 30, 2026, 7:04 p.m.