Triple
T25743227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | quantum cascade laser |
E648274
|
entity |
| Predicate | cavityType |
P159211
|
FINISHED |
| Object | Fabry–Pérot |
—
|
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: Fabry–Pérot | Statement: [quantum cascade laser, cavityType, Fabry–Pérot]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cavityType Context triple: [quantum cascade laser, cavityType, Fabry–Pérot]
-
A.
cavityUse
Indicates the use or functional purpose assigned to a particular cavity or hollow space in or on an entity.
-
B.
caveType
Indicates the specific classification or kind of cave associated with an entity.
-
C.
typeOfChamber
Indicates the specific kind or category of chamber that an entity belongs to or is classified as.
-
D.
chamberType
Indicates the specific kind or category of chamber associated with an entity (e.g., room, compartment, or enclosed space type).
-
E.
cavityFunction
Indicates that one entity serves as a cavity or hollow space that enables or supports a particular function or activity of another entity.
- 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_69e7ab306eec8190b05c312c6ab186b8 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f5fd1c691881908f2ab63b812d978a |
completed | May 2, 2026, 1:33 p.m. |
| PD | Predicate disambiguation | batch_69f4938262ac8190b41f922d0407d272 |
completed | May 1, 2026, 11:50 a.m. |
| PDg | Predicate description generation | batch_69f497b8abb88190bb672cf6907c4b8d |
completed | May 1, 2026, 12:08 p.m. |
Created at: April 22, 2026, 3:47 a.m.