Triple
T11146237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IRS-1D |
E263675
|
entity |
| Predicate | panSwathWidth |
P81986
|
FINISHED |
| Object | ~70 km |
—
|
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: ~70 km | Statement: [IRS-1D, panSwathWidth, ~70 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: panSwathWidth Context triple: [IRS-1D, panSwathWidth, ~70 km]
-
A.
swathWidth
chosen
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.
trackWidth
Indicates the lateral distance between two parallel tracks or wheels, typically measured from center to center.
-
D.
maximumChannelWidth
Indicates the greatest allowable or observed width of a channel in the given context.
-
E.
width
Indicates the measurement of how wide an entity is, typically the extent of its horizontal dimension from side to side.
- 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_69d6aa9ccddc8190868998c8b7beb060 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e86e9ef48190b4df4b14319a954f |
completed | April 9, 2026, 5:57 p.m. |
| PD | Predicate disambiguation | batch_69d75ce104908190b6cc31ef2f67846a |
completed | April 9, 2026, 8:01 a.m. |
Created at: April 8, 2026, 9:28 p.m.