Triple
T24824655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European XFEL |
E621154
|
entity |
| Predicate | hasElectronBeamEnergy |
P5351
|
FINISHED |
| Object | up to 17.5 GeV |
—
|
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: up to 17.5 GeV | Statement: [European XFEL, hasElectronBeamEnergy, up to 17.5 GeV]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasElectronBeamEnergy Context triple: [European XFEL, hasElectronBeamEnergy, up to 17.5 GeV]
-
A.
electronEnergy
Indicates the amount of energy associated with an electron in a given state, configuration, or context.
-
B.
hasOrderOfMagnitudeInElectronvolts
Indicates that one quantity has an energy scale whose order of magnitude is expressed in electronvolts (eV) relative to another value or reference.
-
C.
beamEnergy
chosen
Indicates the amount of energy carried by or assigned to a beam in a physical or engineered system.
-
D.
hasApproximateValueInElectronvolts
Indicates that one entity has a numerical value that approximately equals a specified amount measured in electronvolts (eV).
-
E.
beamEnergyType
Indicates the type or category of energy used or produced by a beam in a given context.
- 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_69e2fac0c3b881909110e5a56c6fa46f |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f43043512481909501a3979cac9947 |
completed | May 1, 2026, 4:46 a.m. |
| PD | Predicate disambiguation | batch_69f420fd375c81908ea4a4e60b76ee8f |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 5:05 a.m.