Triple
T35959508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fujitsu A64FX |
E1039956
|
entity |
| Predicate | top500Relevance |
P84235
|
FINISHED |
| Object | used in system ranked #1 on TOP500 in June 2020 |
—
|
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: used in system ranked #1 on TOP500 in June 2020 | Statement: [Fujitsu A64FX, top500Relevance, used in system ranked #1 on TOP500 in June 2020]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: top500Relevance Context triple: [Fujitsu A64FX, top500Relevance, used in system ranked #1 on TOP500 in June 2020]
-
A.
top500List
chosen
Indicates that an entity is included in a ranking or compilation of the top 500 items within a particular domain or category.
-
B.
relatedRanking
Indicates a relationship where one item’s ranking is connected to or influenced by another item’s ranking.
-
C.
relevanceIn
Indicates that something is pertinent or applicable within a specified context, scope, or domain.
-
D.
coalRank
Indicates the classification of coal based on its degree of metamorphism, quality, and carbon content.
-
E.
inQuadrant
Indicates that one entity is located within a specific quadrant or sector of a defined spatial or coordinate system relative to another reference.
- 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_69f76e26b21081909fd9ffb3aff6c77a |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7ac23d1388190bdf9628b294943bd |
completed | May 3, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69f7ab734d848190a84f9b8c3a952b75 |
completed | May 3, 2026, 8:09 p.m. |
Created at: May 3, 2026, 4:07 p.m.