Triple

T8707079
Position Surface form Disambiguated ID Type / Status
Subject IMS E206675 entity
Predicate supportsLanguage P2177 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: [IMS, supportsLanguage, COBOL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: COBOL
Context triple: [IMS, supportsLanguage, 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. SNOBOL
    SNOBOL is an early high-level programming language from the 1960s known for its powerful pattern-matching and string-processing capabilities.
  • E. BCPL
    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.
  • 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_69ca835645e881908f00e3c8b51da81d completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc58fe19ac8190936ba0faf513ed2b completed March 31, 2026, 11:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf28aac77c8190b4f5968643715765 completed April 3, 2026, 2:40 a.m.
Created at: March 30, 2026, 6:35 p.m.