Triple
T6146513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belle II detector |
E137090
|
entity |
| Predicate | aimsToConstrain |
P49586
|
FINISHED |
| Object | new physics energy scales |
—
|
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: new physics energy scales | Statement: [Belle II detector, aimsToConstrain, new physics energy scales]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aimsToConstrain Context triple: [Belle II detector, aimsToConstrain, new physics energy scales]
-
A.
designedToConstrain
chosen
Indicates that one entity is intentionally created or configured to limit, restrict, or control the behavior, range, or properties of another entity.
-
B.
constrainedBy
Indicates that one entity’s state, behavior, or possibilities are limited, restricted, or governed by another entity.
-
C.
usesConstriction
Indicates that one entity applies pressure by tightening or squeezing around another entity to restrain, control, or affect it.
-
D.
aimedToLimit
Indicates an action or policy that was intentionally directed toward restricting, reducing, or constraining something.
-
E.
aimsToBalance
Indicates an intention or effort by one entity to bring multiple elements, forces, or conditions into a state of equilibrium.
- 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.