Triple
T8483304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OS/390 |
E200569
|
entity |
| Predicate | supportsProgrammingLanguage |
P1592
|
FINISHED |
| Object |
REXX
REXX is a high-level, easy-to-read scripting and macro language widely used on IBM mainframe systems for automation, data processing, and system control tasks.
|
E736221
|
NE FINISHED |
How this triple was built (4 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: REXX | Statement: [OS/390, supportsProgrammingLanguage, REXX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: REXX Context triple: [OS/390, supportsProgrammingLanguage, REXX]
-
A.
ARexx
ARexx is a REXX-based scripting language for the AmigaOS platform, commonly used to automate tasks and enable inter-application communication.
-
B.
SNOBOL
SNOBOL is an early high-level programming language from the 1960s known for its powerful pattern-matching and string-processing capabilities.
-
C.
RPL programming language
RPL is a stack-based, reverse Polish Lisp-like programming language developed by Hewlett-Packard for its graphing calculators, combining features of RPN and structured programming.
-
D.
Caché
Caché is a tributary stream that feeds into the Bléone River in southeastern France.
-
E.
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.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: REXX Triple: [OS/390, supportsProgrammingLanguage, REXX]
Generated description
REXX is a high-level, easy-to-read scripting and macro language widely used on IBM mainframe systems for automation, data processing, and system control tasks.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: REXX Target entity description: REXX is a high-level, easy-to-read scripting and macro language widely used on IBM mainframe systems for automation, data processing, and system control tasks.
-
A.
ARexx
ARexx is a REXX-based scripting language for the AmigaOS platform, commonly used to automate tasks and enable inter-application communication.
-
B.
SNOBOL
SNOBOL is an early high-level programming language from the 1960s known for its powerful pattern-matching and string-processing capabilities.
-
C.
RPL programming language
RPL is a stack-based, reverse Polish Lisp-like programming language developed by Hewlett-Packard for its graphing calculators, combining features of RPN and structured programming.
-
D.
Caché
Caché is a tributary stream that feeds into the Bléone River in southeastern France.
-
E.
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.
- F. None of above. chosen
Provenance (5 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_69ca831b17988190a1f3f3413d57b820 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe53845e881909eeb32863c7aa942 |
completed | March 31, 2026, 3:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce3a348a8481908a72c7ac15605022 |
completed | April 2, 2026, 9:43 a.m. |
| NEDg | Description generation | batch_69ce3b56c3d881909468c3304e84cdb8 |
completed | April 2, 2026, 9:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce3c2579a08190af15d40d4bf7bb9f |
completed | April 2, 2026, 9:51 a.m. |
Created at: March 30, 2026, 6:12 p.m.