Triple
T2372796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RADARSAT-2 |
E46127
|
entity |
| Predicate | imagingModes |
P21259
|
FINISHED |
| Object | Spotlight mode |
—
|
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: Spotlight mode | Statement: [RADARSAT-2, imagingModes, Spotlight mode]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: imagingModes Context triple: [RADARSAT-2, imagingModes, Spotlight mode]
-
A.
displayMode
Indicates how content or information is visually presented or arranged to the user.
-
B.
imagedIn
Indicates that one entity appears within or is depicted in an image associated with another entity.
-
C.
typicalPictureFormat
Indicates the standard or most commonly used picture format associated with an entity (such as a device, medium, or context).
-
D.
coversMode
Indicates that one entity includes, addresses, or supports a particular mode or manner of operation associated with another entity.
-
E.
instrumentMode
chosen
Indicates the manner, setting, or operational mode in which an instrument is used to perform an action or measurement.
- 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_69a88a145268819083e2736cb835c696 |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abca4d89248190be7d712d5fa8382b |
completed | March 7, 2026, 6:48 a.m. |
| PD | Predicate disambiguation | batch_69abc59d82f08190b7c36982d1ae783d |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:56 p.m.