Triple
T1151881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fraunhofer diffraction |
E23693
|
entity |
| Predicate | canBeRealizedWith |
P8649
|
FINISHED |
| Object | collimating lens |
—
|
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: collimating lens | Statement: [Fraunhofer diffraction, canBeRealizedWith, collimating lens]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeRealizedWith Context triple: [Fraunhofer diffraction, canBeRealizedWith, collimating lens]
-
A.
canBeConstructedWith
Indicates that one entity can be formed, built, or assembled using another entity as material, components, or means.
-
B.
canBeImplementedWith
chosen
Indicates that one entity is capable of being realized, executed, or fulfilled through the use or application of another entity.
-
C.
canBe
Indicates that one entity has the potential, permission, or capability to become, perform as, or be classified as another entity.
-
D.
canAlsoBe
Indicates that something has an additional possible state, role, or classification beyond its primary one.
-
E.
availableWith
Indicates that one entity can be obtained, accessed, or used in conjunction with another 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_69a493f0d32c8190ac74bad3c87f2641 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bc744e7c81908f8612f2aad28600 |
completed | March 1, 2026, 10:23 p.m. |
| PD | Predicate disambiguation | batch_69a4bb50d19c81908a98dbbb04a8906f |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:44 p.m.