Triple
T19045927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maksutov telescope |
E466130
|
entity |
| Predicate | hasOpticalElement |
P134872
|
FINISHED |
| Object | spherical 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: spherical primary mirror | Statement: [Maksutov telescope, hasOpticalElement, spherical primary mirror]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOpticalElement Context triple: [Maksutov telescope, hasOpticalElement, spherical primary mirror]
-
A.
hasOpticalChannels
Indicates that an entity possesses one or more optical communication or signal-transmission channels.
-
B.
usesOpticsType
Indicates that one entity employs or is characterized by a specific type of optical system or technology.
-
C.
hasOpticalImageStabilization
Indicates that a device or component includes a feature that reduces image blur caused by camera movement during capture.
-
D.
hasOpticalCompanion
Indicates that one entity has another entity as an associated optical companion, typically observed as a nearby or paired object in optical wavelengths.
-
E.
opticalProperty
Indicates a relationship where an entity has or is characterized by a specific optical property, such as how it interacts with or responds to light.
- F. None of above. chosen
Provenance (4 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_69d8dd0359648190bc2a9202c5cf29d2 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d80466f88190988171920f2be7dc |
completed | April 20, 2026, 7:38 a.m. |
| PD | Predicate disambiguation | batch_69e4b99633c8819097988608c278ecf8 |
completed | April 19, 2026, 11:16 a.m. |
| PDg | Predicate description generation | batch_69e4c0fc3c4c8190abbfe06e1bd3325c |
completed | April 19, 2026, 11:48 a.m. |
Created at: April 10, 2026, 12:03 p.m.