Triple
T4387009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dall–Kirkham telescope design |
E99267
|
entity |
| Predicate | usesSecondaryMirrorShape |
P8983
|
FINISHED |
| Object | spherical secondary mirror |
—
|
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: spherical secondary mirror | Statement: [Dall–Kirkham telescope design, usesSecondaryMirrorShape, spherical secondary mirror]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesSecondaryMirrorShape Context triple: [Dall–Kirkham telescope design, usesSecondaryMirrorShape, spherical secondary mirror]
-
A.
secondaryMirrorShape
chosen
Indicates that one entity specifies or defines the geometric shape of a secondary mirror associated with another entity.
-
B.
hasSecondaryMirrorPosition
Indicates the spatial placement or configuration of a secondary mirror relative to the primary optical system.
-
C.
primaryMirrorShape
Indicates that one entity has a primary mirror whose geometric shape or curvature type is specified by the other entity.
-
D.
primaryMirrorArea
Indicates the surface area of the primary mirror involved in the optical or reflective system.
-
E.
mirrorType
Indicates that one entity is a specific kind or category of mirror in relation to 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_69b3454f739481909ff6c28331f0c0b9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b352669f608190b3aa7030d8073e04 |
completed | March 12, 2026, 11:55 p.m. |
| PD | Predicate disambiguation | batch_69b34f572efc8190bad1e5078cbcb75a |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:19 p.m.