Triple
T20074553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Omega laser system |
E499825
|
entity |
| Predicate | frequencyConversion |
P138600
|
FINISHED |
| Object | third-harmonic generation |
—
|
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: third-harmonic generation | Statement: [Omega laser system, frequencyConversion, third-harmonic generation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: frequencyConversion Context triple: [Omega laser system, frequencyConversion, third-harmonic generation]
-
A.
frequencyChange
Indicates a change in how often an event, action, or state occurs over time.
-
B.
frequency
Indicates how often an event, action, or relationship occurs within a given period or context.
-
C.
frequencyShiftProperty
Indicates a relationship where one entity specifies or characterizes the amount or nature of a change in frequency experienced by another entity or signal.
-
D.
frequencyDependsOn
Indicates that the frequency of one event, action, or state is determined or influenced by another factor or condition.
-
E.
frequencyCategory
Indicates how often an action, event, or relationship occurs, typically by assigning it to a qualitative frequency level (e.g., rare, occasional, frequent).
- 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_69da627770948190997f486f9a2e370f |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66439efe881909a068c3f05022421 |
completed | April 20, 2026, 5:36 p.m. |
| PD | Predicate disambiguation | batch_69e54cf369b88190931532420517dac7 |
completed | April 19, 2026, 9:45 p.m. |
| PDg | Predicate description generation | batch_69e54fc20888819083c9118a09d0d2dc |
completed | April 19, 2026, 9:57 p.m. |
Created at: April 11, 2026, 3:40 p.m.