Triple
T2977050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Transiting Exoplanet Survey Satellite |
E80422
|
entity |
| Predicate | totalFieldOfView |
P2524
|
FINISHED |
| Object | 24 by 96 degrees |
—
|
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: 24 by 96 degrees | Statement: [Transiting Exoplanet Survey Satellite, totalFieldOfView, 24 by 96 degrees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalFieldOfView Context triple: [Transiting Exoplanet Survey Satellite, totalFieldOfView, 24 by 96 degrees]
-
A.
hasFieldOfView
chosen
Indicates that one entity possesses a visual coverage area within which it can perceive or detect other entities or regions.
-
B.
angularSize
Indicates the apparent size of an object as seen from a given point, typically measured as the angle it subtends at the observer.
-
C.
canBeSeenWith
Indicates that two entities are observable together in the same context, setting, or time.
-
D.
maxVerticalAngle
Indicates the greatest vertical angular difference or tilt between two entities or directions.
-
E.
visibleToNakedEye
Indicates that something can be perceived directly without the aid of optical instruments such as telescopes, microscopes, or binoculars.
- 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_69ad8b15f6ac8190be5fd16a33edcb4f |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad998c589c8190b4530f3fb8975187 |
completed | March 8, 2026, 3:45 p.m. |
| PD | Predicate disambiguation | batch_69ad96105a708190a9ec4838cbcb1207 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:58 p.m.