Triple
T1923098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IBM System/370 |
E40167
|
entity |
| Predicate | compatibleWith |
P203
|
FINISHED |
| Object |
OS/VS2
OS/VS2 was IBM’s mainframe operating system for the System/370 line, providing virtual storage capabilities and advanced batch and time-sharing features for enterprise computing.
|
E214838
|
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: OS/VS2 | Statement: [IBM System/370, compatibleWith, OS/VS2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OS/VS2 Context triple: [IBM System/370, compatibleWith, OS/VS2]
-
A.
OS/2
OS/2 is a 32-bit multitasking operating system originally developed by IBM and Microsoft as a successor to MS-DOS, known for its stability and use in business environments in the late 1980s and 1990s.
-
B.
OS
OS is the vehicle registration code for the German city of Osnabrück and its surrounding district.
-
C.
VS
VS is the two-letter abbreviation commonly used for the Swiss canton of Valais.
-
D.
OSSE
OSSE is the District of Columbia’s state education agency responsible for overseeing public education policies, programs, and accountability across the city.
-
E.
VMS
VMS is a regional public transport association in the Chemnitz area of Germany that coordinates and manages integrated fares and services across multiple transit operators.
- 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: OS/VS2 Triple: [IBM System/370, compatibleWith, OS/VS2]
Generated description
OS/VS2 was IBM’s mainframe operating system for the System/370 line, providing virtual storage capabilities and advanced batch and time-sharing features for enterprise computing.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: OS/VS2 Target entity description: OS/VS2 was IBM’s mainframe operating system for the System/370 line, providing virtual storage capabilities and advanced batch and time-sharing features for enterprise computing.
-
A.
OS/2
OS/2 is a 32-bit multitasking operating system originally developed by IBM and Microsoft as a successor to MS-DOS, known for its stability and use in business environments in the late 1980s and 1990s.
-
B.
OS
OS is the vehicle registration code for the German city of Osnabrück and its surrounding district.
-
C.
VS
VS is the two-letter abbreviation commonly used for the Swiss canton of Valais.
-
D.
OSSE
OSSE is the District of Columbia’s state education agency responsible for overseeing public education policies, programs, and accountability across the city.
-
E.
VMS
VMS is a regional public transport association in the Chemnitz area of Germany that coordinates and manages integrated fares and services across multiple transit operators.
- 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_69a8864298748190a2f2fd34f7ef8d77 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb23459ac819088ded5bfac9d4aad |
completed | March 7, 2026, 5:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adf3e6678881908d72de7e0f19a648 |
completed | March 8, 2026, 10:10 p.m. |
| NEDg | Description generation | batch_69adf471909881909de20d9d1fa0b372 |
completed | March 8, 2026, 10:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adf50b17a081909b93ad3e08c71772 |
completed | March 8, 2026, 10:15 p.m. |
Created at: March 4, 2026, 7:35 p.m.