Triple
T22614275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atari 130XE |
E566797
|
entity |
| Predicate | ramComparedToPredecessor |
P82043
|
FINISHED |
| Object | double the RAM of Atari 65XE |
—
|
LITERAL FINISHED |
How this triple was built (2 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: double the RAM of Atari 65XE | Statement: [Atari 130XE, ramComparedToPredecessor, double the RAM of Atari 65XE]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ramComparedToPredecessor Context triple: [Atari 130XE, ramComparedToPredecessor, double the RAM of Atari 65XE]
-
A.
technologyLevelComparedToPredecessor
Indicates how the technology level of an entity compares to that of its immediate predecessor.
-
B.
comparedToPredecessor
chosen
Indicates that something is being evaluated or measured in relation to the thing that came immediately before it.
-
C.
operatingSpeedComparedToContemporaries
Indicates how an entity’s operating speed compares relative to other similar entities from the same time period.
-
D.
typicalEfficiencyComparedToPredecessor
Indicates how the usual or average efficiency of something compares to that of its predecessor.
-
E.
predecessorSystem
Indicates that one system existed or was in use before and was replaced or superseded by another system.
- F. None of above.
Provenance (3 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_69e245884860819081046ce07d5872c4 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f167ecc7188190bf41fe2177d48e6c |
completed | April 29, 2026, 2:07 a.m. |
| PD | Predicate disambiguation | batch_69ee62855558819080da946c7b35a160 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 17, 2026, 2:58 p.m.