Triple
T4703353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maksutov–Cassegrain telescope design |
E104328
|
entity |
| Predicate | usesMirrorShape |
P8982
|
FINISHED |
| Object | all-spherical optical surfaces in basic form |
—
|
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: all-spherical optical surfaces in basic form | Statement: [Maksutov–Cassegrain telescope design, usesMirrorShape, all-spherical optical surfaces in basic form]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesMirrorShape Context triple: [Maksutov–Cassegrain telescope design, usesMirrorShape, all-spherical optical surfaces in basic form]
-
A.
primaryMirrorShape
chosen
Indicates that one entity has a primary mirror whose geometric shape or curvature type is specified by the other entity.
-
B.
secondaryMirrorShape
Indicates that one entity specifies or defines the geometric shape of a secondary mirror associated with another entity.
-
C.
mirrorType
Indicates that one entity is a specific kind or category of mirror in relation to another entity.
-
D.
hasMirrorSupportSystem
Indicates that an entity is equipped with or connected to a system that supports or stabilizes a mirror.
-
E.
primaryMirrorArea
Indicates the surface area of the primary mirror involved in the optical or reflective system.
- 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_69bd43e9b88481908582103dcadff3d9 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd650ad0f88190844bfcb46b3071c2 |
completed | March 20, 2026, 3:17 p.m. |
| PD | Predicate disambiguation | batch_69bd621ba7448190a53ab1e2897acf71 |
completed | March 20, 2026, 3:04 p.m. |
Created at: March 20, 2026, 1:17 p.m.