Triple

T10033270
Position Surface form Disambiguated ID Type / Status
Subject COBOL E204900 entity
Predicate hasStandard P1371 FINISHED
Object COBOL 2014 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 2014 | Statement: [COBOL, hasStandard, COBOL 2014]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: COBOL 2014
Context triple: [COBOL, hasStandard, COBOL 2014]
  • A. IBM Enterprise COBOL
    IBM Enterprise COBOL is IBM’s modern, optimized implementation of the COBOL programming language for developing and maintaining high-performance business applications on IBM mainframe systems.
  • B. COBOL chosen
    COBOL is a long-established, English-like programming language primarily used for business, finance, and administrative systems on mainframes and enterprise platforms.
  • C. GnuCOBOL
    GnuCOBOL is a free, open-source compiler that translates COBOL programs into C, enabling them to be compiled and run on modern systems.
  • 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. 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.
  • 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_69ca834d77188190ad645e33e8ca3200 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdce47845c8190ab5696267fdedcad completed April 2, 2026, 2:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29a225e0c8190b87eb646cefa6a33 completed April 5, 2026, 5:21 p.m.
Created at: March 30, 2026, 8:54 p.m.