Triple
T13410507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fugaku |
E320072
|
entity |
| Predicate | firstSystemToTopFourBenchmarks |
P109802
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Fugaku, firstSystemToTopFourBenchmarks, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstSystemToTopFourBenchmarks Context triple: [Fugaku, firstSystemToTopFourBenchmarks, yes]
-
A.
top500List
Indicates that an entity is included in a ranking or compilation of the top 500 items within a particular domain or category.
-
B.
firstFourFormat
Indicates that the first four characters of a value follow or match a specified format or pattern.
-
C.
usedComputerRankings
Indicates that the selection or decision was based on rankings generated by a computer system.
-
D.
firstCommercialCPU
Indicates that the subject is the first central processing unit of its kind to be made available commercially.
-
E.
firstGamingGPUsAnnounced
Indicates that the subject announced the first generation of gaming GPUs for the specified object or context.
- 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.