Triple
T147047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ritchey–Chrétien reflector |
E3352
|
entity |
| Predicate | usesOpticalElement |
P3097
|
FINISHED |
| Object | hyperbolic 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: hyperbolic primary mirror | Statement: [Ritchey–Chrétien reflector, usesOpticalElement, hyperbolic primary mirror]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesOpticalElement Context triple: [Ritchey–Chrétien reflector, usesOpticalElement, hyperbolic primary mirror]
-
A.
usesElement
chosen
Indicates that one entity makes use of, incorporates, or depends on a specified element in its structure, function, or behavior.
-
B.
hasFieldOfView
Indicates that one entity possesses a visual coverage area within which it can perceive or detect other entities or regions.
-
C.
usesInstrument
Indicates that an agent performs an action by employing a specific instrument or tool as the means to carry it out.
-
D.
hasApertureClass
Indicates that one entity is classified according to a specific aperture category or class of another entity.
-
E.
hasPhotonSphere
Indicates that an object (typically a massive, compact body) possesses a region where photons can orbit it on closed or nearly closed paths due to its gravitational field.
- 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_69a252868de4819080e21c9938bfe8b6 |
completed | Feb. 28, 2026, 2:27 a.m. |
| NER | Named-entity recognition | batch_69a258808ff08190a06b6206f635612b |
completed | Feb. 28, 2026, 2:52 a.m. |
| PD | Predicate disambiguation | batch_69a256580c2c8190beecca60ca8595f3 |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.