Triple
T13316918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burroughs large systems |
E317209
|
entity |
| Predicate | marketedAs |
P1395
|
FINISHED |
| Object |
B6700
The B6700 was a mainframe computer in Burroughs' large systems line, known for its stack-based architecture and support for high-level languages.
|
E1033542
|
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: B6700 | Statement: [Burroughs large systems, marketedAs, B6700]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: B6700 Context triple: [Burroughs large systems, marketedAs, B6700]
-
A.
B720
B720 is the ICAO type designator for the Boeing 720, a narrow-body jet airliner developed as a shorter-range derivative of the Boeing 707.
-
B.
A600
A600 is a regional road in England that connects several towns and villages in Bedfordshire and Hertfordshire.
-
C.
A600
A600 is a compact home computer in the Commodore Amiga line, notable for its small form factor, built-in hard drive support, and lack of a numeric keypad compared to its predecessor, the Amiga 500.
-
D.
BVME6000
BVME6000 is a Motorola 680x0-based VMEbus single-board computer commonly used in embedded and industrial systems.
-
E.
Z 6400
Z 6400 is a class of French electric multiple unit trains operated by SNCF for suburban commuter services around Paris.
- 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: B6700 Triple: [Burroughs large systems, marketedAs, B6700]
Generated description
The B6700 was a mainframe computer in Burroughs' large systems line, known for its stack-based architecture and support for high-level languages.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: B6700 Target entity description: The B6700 was a mainframe computer in Burroughs' large systems line, known for its stack-based architecture and support for high-level languages.
-
A.
B720
B720 is the ICAO type designator for the Boeing 720, a narrow-body jet airliner developed as a shorter-range derivative of the Boeing 707.
-
B.
A600
A600 is a regional road in England that connects several towns and villages in Bedfordshire and Hertfordshire.
-
C.
A600
A600 is a compact home computer in the Commodore Amiga line, notable for its small form factor, built-in hard drive support, and lack of a numeric keypad compared to its predecessor, the Amiga 500.
-
D.
BVME6000
BVME6000 is a Motorola 680x0-based VMEbus single-board computer commonly used in embedded and industrial systems.
-
E.
Z 6400
Z 6400 is a class of French electric multiple unit trains operated by SNCF for suburban commuter services around Paris.
- 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_69f716ec2ec08190a6e37795b422fe71 |
completed | May 3, 2026, 9:35 a.m. |
| NEDg | Description generation | batch_69f717d953b48190954b86c41ff34c07 |
completed | May 3, 2026, 9:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f718b852808190a2a0fb48424bffb0 |
completed | May 3, 2026, 9:43 a.m. |
Created at: April 9, 2026, 9:29 p.m.