Triple
T36487286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LISS-I |
E898965
|
entity |
| Predicate | swathType |
P185586
|
FINISHED |
| Object | linear pushbroom scanner |
—
|
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: linear pushbroom scanner | Statement: [LISS-I, swathType, linear pushbroom scanner]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: swathType Context triple: [LISS-I, swathType, linear pushbroom scanner]
-
A.
swathWidth
Indicates the lateral extent or breadth covered by an action or effect, typically measured as the width of the area impacted or traversed.
-
B.
swathWidthRange
Indicates the range of possible widths covered or affected in a single pass or sweep of an action or process.
-
C.
sightType
Indicates the specific kind or category of sight or visual perception associated with an entity or event.
-
D.
scanType
Indicates the specific kind or category of scanning operation performed or required in a given context.
-
E.
radarType
Indicates the specific category or classification of radar associated with an entity.
- 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_69f76e5ad4588190bdbce60c52fbb785 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bccf05bc8190b61fdb2b2a315811 |
completed | May 3, 2026, 9:23 p.m. |
| PDg | Predicate description generation | batch_69f7be9b9ab481908328e0e8d8ac73d4 |
completed | May 3, 2026, 9:31 p.m. |
Created at: May 3, 2026, 4:10 p.m.