Triple
T25743209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | quantum cascade laser |
E648274
|
entity |
| Predicate | gainMedium |
P159209
|
FINISHED |
| Object | semiconductor quantum wells |
—
|
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: semiconductor quantum wells | Statement: [quantum cascade laser, gainMedium, semiconductor quantum wells]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gainMedium Context triple: [quantum cascade laser, gainMedium, semiconductor quantum wells]
-
A.
gainMediumState
Indicates that an entity transitions into or acquires a medium-level state or condition within a defined scale or process.
-
B.
subsequentMedium
Indicates that one medium or format follows another in a sequence, typically as a later or alternative form of the same content or communication.
-
C.
subjectMedium
Indicates the medium or channel through which the subject is expressed, communicated, or realized.
-
D.
significantMedium
Indicates that a medium (such as a material, format, or channel) plays an important or defining role in the way an entity is created, expressed, or communicated.
-
E.
influencedMedium
Indicates that one entity has affected, shaped, or altered the form, style, or characteristics of a medium through its influence.
- 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.