Triple
T16430540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MERRA reanalysis system |
E399060
|
entity |
| Predicate | inputData |
P82730
|
FINISHED |
| Object | satellite observations |
—
|
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: satellite observations | Statement: [MERRA reanalysis system, inputData, satellite observations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inputData Context triple: [MERRA reanalysis system, inputData, satellite observations]
-
A.
input
Indicates that one entity provides data, signals, or resources that are received or processed by another entity.
-
B.
data
Indicates that one entity serves as informational content, measurements, or recorded values associated with another entity.
-
C.
initialDataGivenOn
Indicates that some initial or starting data was provided or made available at a specific time or on a particular date.
-
D.
computationInput
chosen
Indicates that an entity serves as input data or parameters consumed by a computation or processing activity.
-
E.
inputType
Indicates the kind or format of data that an entity expects to receive as input in a given context.
- 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_69d87f2b9024819085c20e52de95d583 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e328fe0f488190ac34aa677c980a20 |
completed | April 18, 2026, 6:47 a.m. |
| PD | Predicate disambiguation | batch_69e22701d2288190bf8676050758f172 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:10 a.m.