Triple
T16430551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MERRA reanalysis system |
E399060
|
entity |
| Predicate | providesVariable |
P38220
|
FINISHED |
| Object | atmospheric temperature |
—
|
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: atmospheric temperature | Statement: [MERRA reanalysis system, providesVariable, atmospheric temperature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: providesVariable Context triple: [MERRA reanalysis system, providesVariable, atmospheric temperature]
-
A.
hasVariable
chosen
Indicates that one entity includes, defines, or is associated with a particular variable.
-
B.
formalVariable
Indicates that an entity functions as a formal variable, typically serving as a placeholder or bound symbol within a formal expression, statement, or system.
-
C.
usesVAR
Indicates that one entity makes use of, employs, or utilizes another entity as a variable or resource in performing some function or operation.
-
D.
providesProperty
Indicates that one entity supplies, grants, or makes a particular property or attribute available to another entity.
-
E.
usesVARFromStage
Indicates that one entity utilizes a variable or resource that originates from a specific processing stage or step in a workflow.
- 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.