Triple
T36828468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BlueGene/L |
E910071
|
entity |
| Predicate | interconnectTopology |
P33738
|
FINISHED |
| Object | 3D torus network |
—
|
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: 3D torus network | Statement: [BlueGene/L, interconnectTopology, 3D torus network]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: interconnectTopology Context triple: [BlueGene/L, interconnectTopology, 3D torus network]
-
A.
interconnectTechnology
Indicates a relationship where different technologies are linked or integrated so they can work together or share information.
-
B.
interconnectionType
Indicates the specific kind or nature of relationship that links two or more entities together.
-
C.
interconnectionFrequency
Indicates how often two or more entities are connected or interact with each other over a given period.
-
D.
switchingFabric
Indicates a relationship where data traffic is routed or switched between multiple endpoints through an intermediate switching infrastructure.
-
E.
typicalTopology
chosen
Indicates the usual or most common network or structural arrangement that characterizes how the related entities are organized or interconnected.
- 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_69f76e7e9d60819092442fba73290a46 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69feb5e66224819083b87c3707a5a5e0 |
completed | May 9, 2026, 4:19 a.m. |
| PD | Predicate disambiguation | batch_69feb3bd700c8190991ed200cd3c04db |
completed | May 9, 2026, 4:10 a.m. |
Created at: May 3, 2026, 4:13 p.m.