Triple
T6146495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belle II detector |
E137090
|
entity |
| Predicate | designedLuminosity |
P5343
|
FINISHED |
| Object | 8×10^35 cm^-2 s^-1 |
—
|
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: 8×10^35 cm^-2 s^-1 | Statement: [Belle II detector, designedLuminosity, 8×10^35 cm^-2 s^-1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: designedLuminosity Context triple: [Belle II detector, designedLuminosity, 8×10^35 cm^-2 s^-1]
-
A.
designLuminosity
chosen
Indicates the specified luminosity level or brightness characteristics that something is designed or intended to have.
-
B.
designedFeature
Indicates that one entity is a feature or component intentionally planned, created, or specified by another entity as part of a design.
-
C.
designedWith
Indicates that one entity was created, planned, or developed using another entity as a tool, method, or guiding basis in its design process.
-
D.
designedArea
Indicates that an area has been intentionally planned, shaped, or configured according to a specific design or purpose.
-
E.
isDesignedAs
Indicates that something has been intentionally created or configured to serve as or function in the role of something else.
- 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_69c008a2c6308190a56519b22d55d083 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05cdeeaa88190948d9db6eb2dbf46 |
completed | March 22, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69c055f39e0881909ae56444b1b48929 |
completed | March 22, 2026, 8:49 p.m. |
Created at: March 22, 2026, 4:16 p.m.