Triple
T30189438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RCP2.6 |
E767431
|
entity |
| Predicate | hasRadiativeForcingIn2100 |
P85859
|
FINISHED |
| Object | 2.6 W/m² |
—
|
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: 2.6 W/m² | Statement: [RCP2.6, hasRadiativeForcingIn2100, 2.6 W/m²]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRadiativeForcingIn2100 Context triple: [RCP2.6, hasRadiativeForcingIn2100, 2.6 W/m²]
-
A.
radiativeForcingLevel
chosen
Indicates the magnitude of change in the Earth’s energy balance caused by a given factor (e.g., greenhouse gases or aerosols), typically expressed as a level of radiative forcing.
-
B.
climateSensitivity
Indicates how strongly a system’s temperature responds to a change in external forcing, such as increased greenhouse gas concentrations.
-
C.
climateIndicator
Indicates that something serves as a measure or signal of the state, change, or impact of climate-related conditions.
-
D.
climateChangeIndicator
Indicates that the subject serves as a sign, measure, or signal of the presence, extent, or impact of climate change on the related object or context.
-
E.
hasGreenhouseEffect
Indicates that one entity causes or contributes to a greenhouse effect on another entity, typically by trapping heat through atmospheric or environmental mechanisms.
- 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_69f2247cc3d88190811dec3face94bf5 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f7626667f48190ad90867eb67ec582 |
completed | May 3, 2026, 2:57 p.m. |
| PD | Predicate disambiguation | batch_69f76175d6608190b60b268e20f49ed9 |
completed | May 3, 2026, 2:53 p.m. |
Created at: April 29, 2026, 7:28 p.m.