Triple
T680093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linac2 |
E13162
|
entity |
| Predicate | acceleratorType |
P17456
|
FINISHED |
| Object | normal-conducting linac |
—
|
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: normal-conducting linac | Statement: [Linac2, acceleratorType, normal-conducting linac]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: acceleratorType Context triple: [Linac2, acceleratorType, normal-conducting linac]
-
A.
gpuType
Indicates the specific kind or model category of GPU associated with an entity.
-
B.
neuralEngineType
Indicates the specific kind or category of neural processing engine associated with or used by an entity.
-
C.
superchargerType
Indicates the specific kind or category of supercharger associated with or used by an entity.
-
D.
driveType
Indicates the type or configuration of the drive mechanism used to power or propel an entity.
-
E.
approximationType
Indicates the specific method or scheme used to approximate a value, function, or relationship in a given context.
- 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_69a4933d3bf88190972041cd8cf143b9 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a04f4efc819082767a7517fa760a |
completed | March 1, 2026, 8:23 p.m. |
| PD | Predicate disambiguation | batch_69a49d1d79608190a849ba9ffad2879d |
completed | March 1, 2026, 8:10 p.m. |
| PDg | Predicate description generation | batch_69a49df19c9481909cc9bc33ed7f011b |
completed | March 1, 2026, 8:13 p.m. |
Created at: March 1, 2026, 7:36 p.m.