Triple
T2139291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wide Field Camera 3 |
E46723
|
entity |
| Predicate | hasGrism |
P7240
|
FINISHED |
| Object | UVIS G280 grism |
—
|
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: UVIS G280 grism | Statement: [Wide Field Camera 3, hasGrism, UVIS G280 grism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGrism Context triple: [Wide Field Camera 3, hasGrism, UVIS G280 grism]
-
A.
hasInterferometer
Indicates that an entity is equipped with or includes an interferometer as part of its components or instrumentation.
-
B.
hasAuxiliaryTelescopes
Indicates that an entity is equipped with or includes additional telescopes that serve as auxiliary instruments to a primary telescope system.
-
C.
spectrographType
chosen
Indicates the specific kind or category of spectrograph associated with an instrument or observation.
-
D.
hasObservationWavelength
Indicates the specific wavelength at which an observation or measurement is made or recorded.
-
E.
telescopeUsed
Indicates that a particular telescope was employed or utilized to perform an observation or related activity.
- 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_69a88a174ab48190a5db20c132e5dccf |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbf74147c81908793c3694894f94a |
completed | March 7, 2026, 6:02 a.m. |
| PD | Predicate disambiguation | batch_69abbd96a3b0819081efbfef975e1513 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:44 p.m.