Triple
T13410500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fugaku |
E320072
|
entity |
| Predicate | peakPerformanceRpeak |
P109798
|
FINISHED |
| Object | 513 PFLOPS |
—
|
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: 513 PFLOPS | Statement: [Fugaku, peakPerformanceRpeak, 513 PFLOPS]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peakPerformanceRpeak Context triple: [Fugaku, peakPerformanceRpeak, 513 PFLOPS]
-
A.
peakRating
Indicates the highest rating value that has been achieved or recorded for an entity over a given period or context.
-
B.
peakPerformanceUnit
Indicates a unit or component that operates at or is responsible for achieving peak or maximum performance within a system or process.
-
C.
peakType
Indicates the specific classification or category of a peak based on its form, prominence, or other defining characteristics.
-
D.
parentPeak
Indicates that one peak is the higher or primary peak to which another, subordinate peak is topographically related.
-
E.
movementPeak
Indicates the point in time or space at which a movement or motion reaches its maximum intensity, speed, or extent.
- F. None of above. chosen
Provenance (4 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_69d806b943cc8190b6af624d385d7e12 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaeb3facc819088c1af3b59237e7a |
completed | April 12, 2026, 2:39 p.m. |
| PD | Predicate disambiguation | batch_69d9a0355de48190bb3fb96912e20df3 |
completed | April 11, 2026, 1:13 a.m. |
| PDg | Predicate description generation | batch_69dadcce5a808190847f2a7833b67a5a |
completed | April 11, 2026, 11:44 p.m. |
Created at: April 9, 2026, 9:35 p.m.