Triple
T35959657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Summit |
E1039959
|
entity |
| Predicate | successorWorldsFastestSupercomputer |
P50932
|
FINISHED |
| Object | Fugaku |
—
|
NE NERFINISHED |
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: Fugaku | Statement: [Summit, successorWorldsFastestSupercomputer, Fugaku]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: successorWorldsFastestSupercomputer Context triple: [Summit, successorWorldsFastestSupercomputer, Fugaku]
-
A.
fastestComputerUntil
Indicates that a computer was the fastest among all computers up to (and possibly including) a specified point in time.
-
B.
fastestComputerFrom
Indicates that one entity is the fastest computer originating from, or associated with, a specified source, group, or location.
-
C.
hasSupercomputer
Indicates that an entity possesses, controls, or is equipped with a supercomputer.
-
D.
supercomputerName
Indicates that an entity has the specified name used to identify it as a supercomputer.
-
E.
successorSystem
chosen
Indicates that one system directly follows and replaces another in function, role, or version.
- 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_6a003f6083608190a5deadc7291cf70e |
completed | May 10, 2026, 8:18 a.m. |
| PD | Predicate disambiguation | batch_6a003c935c40819085fdb255a52ba03b |
completed | May 10, 2026, 8:06 a.m. |
Created at: May 3, 2026, 4:07 p.m.