Triple
T37704084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ti:sapphire laser |
E939151
|
entity |
| Predicate | typicalCavityType |
P159211
|
FINISHED |
| Object | femtosecond oscillator |
—
|
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: femtosecond oscillator | Statement: [Ti:sapphire laser, typicalCavityType, femtosecond oscillator]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalCavityType Context triple: [Ti:sapphire laser, typicalCavityType, femtosecond oscillator]
-
A.
cavityType
chosen
Indicates the specific kind or classification of a cavity associated with an entity.
-
B.
typeOfChamber
Indicates the specific kind or category of chamber that an entity belongs to or is classified as.
-
C.
typicalChamber
Indicates that something is a standard or characteristic chamber associated with a given context or entity.
-
D.
chamberType
Indicates the specific kind or category of chamber associated with an entity (e.g., room, compartment, or enclosed space type).
-
E.
caveType
Indicates the specific classification or kind of cave associated with an entity.
- 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_69f76edb49dc8190b951dce9ce6ef789 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1772e48190ba738c6d11b321e2 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:18 p.m.