Triple
T1166336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Area of CERN SPS |
E24806
|
entity |
| Predicate | beamExtractionMethod |
P25433
|
FINISHED |
| Object | slow extraction |
—
|
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: slow extraction | Statement: [North Area of CERN SPS, beamExtractionMethod, slow extraction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: beamExtractionMethod Context triple: [North Area of CERN SPS, beamExtractionMethod, slow extraction]
-
A.
beamLine
Indicates a relationship where one entity directs or projects a beam or focused line (such as light, energy, or signal) toward another entity.
-
B.
beamUse
Indicates the action of directing or emitting a beam (such as light, energy, or signal) from one entity toward a target or in a specific direction.
-
C.
beamCurrent
Indicates the amount of electric current carried by a directed beam (such as a particle or electron beam) in a system or experiment.
-
D.
usesPrimaryBeam
Indicates that one entity employs another entity as its main or principal beam in an operation or structure.
-
E.
beamEnergy
Indicates the amount of energy carried by or assigned to a beam in a physical or engineered system.
- 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_69a494082a7c819095004f423f294a64 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bccc62a88190882d8801908015a4 |
completed | March 1, 2026, 10:25 p.m. |
| PD | Predicate disambiguation | batch_69a4bb548c1481909092626c572d8782 |
completed | March 1, 2026, 10:19 p.m. |
| PDg | Predicate description generation | batch_69a4bc8ae87c81908ca5d94f63ad0e80 |
completed | March 1, 2026, 10:24 p.m. |
Created at: March 1, 2026, 7:45 p.m.