Triple
T13316921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burroughs large systems |
E317209
|
entity |
| Predicate | marketedAs |
P1395
|
FINISHED |
| Object |
B7900
B7900 is a model of Burroughs large mainframe computer system designed for high-performance business and data-processing applications.
|
E1034261
|
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: B7900 | Statement: [Burroughs large systems, marketedAs, B7900]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: B7900 Context triple: [Burroughs large systems, marketedAs, B7900]
-
A.
B7800
The B7800 is a mainframe computer model from Burroughs' large systems line, designed for high-performance business and scientific computing in the mainframe era.
-
B.
B7700
B7700 is a model of Burroughs large mainframe computer system designed for high-performance business and scientific computing.
-
C.
B79
B79 is a designated route number for a major regional highway in New South Wales, Australia.
-
D.
B6700
The B6700 was a mainframe computer in Burroughs' large systems line, known for its stack-based architecture and support for high-level languages.
-
E.
B8000 series
The B8000 series was a line of Burroughs large mainframe computer systems designed for high-performance commercial and scientific data processing.
- 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: B7900 Triple: [Burroughs large systems, marketedAs, B7900]
Generated description
B7900 is a model of Burroughs large mainframe computer system designed for high-performance business and data-processing applications.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: B7900 Target entity description: B7900 is a model of Burroughs large mainframe computer system designed for high-performance business and data-processing applications.
-
A.
B7800
The B7800 is a mainframe computer model from Burroughs' large systems line, designed for high-performance business and scientific computing in the mainframe era.
-
B.
B7700
B7700 is a model of Burroughs large mainframe computer system designed for high-performance business and scientific computing.
-
C.
B79
B79 is a designated route number for a major regional highway in New South Wales, Australia.
-
D.
B6700
The B6700 was a mainframe computer in Burroughs' large systems line, known for its stack-based architecture and support for high-level languages.
-
E.
B8000 series
The B8000 series was a line of Burroughs large mainframe computer systems designed for high-performance commercial and scientific data processing.
- 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_69d806b4d62c81908d4ced1665414be5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d990f9a384819085890e18255ee339 |
completed | April 11, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f2a8ba88190a59bc4840ec8ad13 |
completed | May 3, 2026, 10:10 a.m. |
| NEDg | Description generation | batch_69f71fe2c128819096cc31c9cbb739b5 |
completed | May 3, 2026, 10:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7208d47388190b1b51f346b0d1423 |
completed | May 3, 2026, 10:16 a.m. |
Created at: April 9, 2026, 9:29 p.m.