Triple
T14389298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Acorn Archimedes |
E356799
|
entity |
| Predicate | firstModels |
P5101
|
FINISHED |
| Object |
A420
The A420 is an early model in Acorn Computers' Archimedes line of ARM-based personal computers introduced in the late 1980s.
|
E1097919
|
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: A420 | Statement: [Acorn Archimedes, firstModels, A420]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A420 Context triple: [Acorn Archimedes, firstModels, A420]
-
A.
A4200
A4200 is a major road in central London that runs through the Holborn area, connecting key routes in the city.
-
B.
A428
The A428 is a major road in eastern England that links Cambridge with Bedford and other nearby towns, serving as an important regional transport route.
-
C.
A429
The A429 is a major road in England that runs through the Cotswolds, linking towns such as Cirencester and Warwick and providing an important regional route.
-
D.
A4232
The A4232 is a major ring road and bypass route around Cardiff that helps divert traffic away from the city centre.
-
E.
A4120
A4120 is a numbered A-road in the United Kingdom that serves as a regional connector route.
- 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: A420 Triple: [Acorn Archimedes, firstModels, A420]
Generated description
The A420 is an early model in Acorn Computers' Archimedes line of ARM-based personal computers introduced in the late 1980s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: A420 Target entity description: The A420 is an early model in Acorn Computers' Archimedes line of ARM-based personal computers introduced in the late 1980s.
-
A.
A4200
A4200 is a major road in central London that runs through the Holborn area, connecting key routes in the city.
-
B.
A428
The A428 is a major road in eastern England that links Cambridge with Bedford and other nearby towns, serving as an important regional transport route.
-
C.
A429
The A429 is a major road in England that runs through the Cotswolds, linking towns such as Cirencester and Warwick and providing an important regional route.
-
D.
A4232
The A4232 is a major ring road and bypass route around Cardiff that helps divert traffic away from the city centre.
-
E.
A4120
A4120 is a numbered A-road in the United Kingdom that serves as a regional connector route.
- 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_69d827927c988190ad98bb0360981783 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de9029ef048190bdda5ee41618e720 |
completed | April 14, 2026, 7:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd551623608190ba1de09b423cc5e1 |
completed | May 8, 2026, 3:14 a.m. |
| NEDg | Description generation | batch_69fd5671340081909d87978be2a5522b |
completed | May 8, 2026, 3:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd57a6711881909429bba35ee867c6 |
completed | May 8, 2026, 3:25 a.m. |
Created at: April 10, 2026, 1:16 a.m.