Triple
T28195051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FEL-1 |
E716419
|
entity |
| Predicate | photonSource |
P38241
|
FINISHED |
| Object | free-electron laser |
—
|
NE NERFINISHED |
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: free-electron laser | Statement: [FEL-1, photonSource, free-electron laser]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: photonSource Context triple: [FEL-1, photonSource, free-electron laser]
-
A.
primaryBeamSource
Indicates that an entity serves as the originating source of a primary beam used or produced by another entity.
-
B.
plasmaSource
Indicates that one entity serves as the origin or provider of plasma for another entity or process.
-
C.
lightSourceFor
Indicates that one entity serves as the source of illumination for another entity.
-
D.
lightSourceGeneration
chosen
Indicates that an entity produces or emits light, serving as a source of illumination for other entities or the environment.
-
E.
electronSource
Indicates a relationship where one entity serves as the origin or provider of electrons for another entity or process.
- 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_69efd6b612f48190a72012b520afbd10 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f642d058188190b71796a530a202f6 |
completed | May 2, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69f63c6c1a948190b68c0f92c264cc0c |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 27, 2026, 10:27 p.m.