Triple
T15838822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wolter type I grazing-incidence telescope |
E384049
|
entity |
| Predicate | mirrorGeometry |
P8982
|
FINISHED |
| Object | paraboloid primary 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: paraboloid primary mirror | Statement: [Wolter type I grazing-incidence telescope, mirrorGeometry, paraboloid primary mirror]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mirrorGeometry Context triple: [Wolter type I grazing-incidence telescope, mirrorGeometry, paraboloid primary mirror]
-
A.
mirrorType
Indicates that one entity is a specific kind or category of mirror in relation to another entity.
-
B.
viewGeometry
Indicates a relationship where a particular viewpoint or camera setup defines how a scene’s geometry is projected, framed, or visually represented.
-
C.
primaryMirrorShape
chosen
Indicates that one entity has a primary mirror whose geometric shape or curvature type is specified by the other entity.
-
D.
observationGeometry
Indicates the spatial and directional configuration between an observer and a target at the time an observation is made.
-
E.
mirrorTechnology
Indicates a relationship where one technology closely reflects, imitates, or duplicates the functionality or design of another.
- 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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e142e4fa24819086a1a226082ac2d3 |
completed | April 16, 2026, 8:13 p.m. |
| PD | Predicate disambiguation | batch_69e005418f588190824d91ff7974dada |
completed | April 15, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:49 a.m.