Triple
T36572674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aditya-L1 |
E902159
|
entity |
| Predicate | advantageOfL1 |
P185879
|
FINISHED |
| Object | continuous view of the Sun |
—
|
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: continuous view of the Sun | Statement: [Aditya-L1, advantageOfL1, continuous view of the Sun]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: advantageOfL1 Context triple: [Aditya-L1, advantageOfL1, continuous view of the Sun]
-
A.
isL1Of
Indicates that one entity is the first or primary level (L1) counterpart, component, or representation of another entity within a hierarchical or layered structure.
-
B.
L1Cache
Indicates a relationship where data or instructions are stored or accessed in the first-level (closest, fastest) cache memory associated with a processor core.
-
C.
supportsL1Cache
Indicates that one entity provides or is compatible with Level 1 (L1) cache functionality for another entity.
-
D.
advantageOverCookies
Indicates a comparative relationship where one option, method, or entity is considered to have benefits or superiority when compared specifically to cookies.
-
E.
advantageOverHDD
Indicates that one entity possesses a benefit, superiority, or improvement when compared to a hard disk drive (HDD).
- 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_69f76e6416708190a9754b8c52d4e453 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1baf25c8190a78dd54a400d2c50 |
completed | May 3, 2026, 9:44 p.m. |
| PDg | Predicate description generation | batch_69f7c3705b5c81908c84004543a71c07 |
completed | May 3, 2026, 9:51 p.m. |
Created at: May 3, 2026, 4:11 p.m.