Triple
T18314883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NIRC2 camera |
E438729
|
entity |
| Predicate | hasCoronagraphicMasks |
P42115
|
FINISHED |
| Object | Lyot stops and occulting spots |
—
|
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: Lyot stops and occulting spots | Statement: [NIRC2 camera, hasCoronagraphicMasks, Lyot stops and occulting spots]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCoronagraphicMasks Context triple: [NIRC2 camera, hasCoronagraphicMasks, Lyot stops and occulting spots]
-
A.
hasCoronagraph
chosen
Indicates that an object or system is equipped with or includes a coronagraph instrument.
-
B.
hasCassegrainFocus
Indicates that an optical instrument, typically a telescope, possesses a Cassegrain focus configuration where light is directed to a focal point behind the primary mirror.
-
C.
hasFilterWheel
Indicates that an entity is equipped with or connected to a filter wheel component used to select among multiple filters.
-
D.
hasAuxiliaryTelescopes
Indicates that an entity is equipped with or includes additional telescopes that serve as auxiliary instruments to a primary telescope system.
-
E.
hasSpectrograph
Indicates that one entity is equipped with or contains a spectrograph instrument.
- 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_69d8b916a2d081909e249e4902f6aad9 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e5021cc70c8190bf43bd75e4af7381 |
completed | April 19, 2026, 4:26 p.m. |
| PD | Predicate disambiguation | batch_69e44fe4ee10819086b4142444fca1f5 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:36 a.m.