Triple
T30189519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RCP3-PD |
E767433
|
entity |
| Predicate | hasRadiativeForcingLevel |
P85859
|
FINISHED |
| Object | approximately 3 W/m² in 2100 |
—
|
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: approximately 3 W/m² in 2100 | Statement: [RCP3-PD, hasRadiativeForcingLevel, approximately 3 W/m² in 2100]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRadiativeForcingLevel Context triple: [RCP3-PD, hasRadiativeForcingLevel, approximately 3 W/m² in 2100]
-
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.
inForceLevel
Indicates that an entity exists or operates within a specified level, tier, or intensity of force, power, or influence.
-
C.
climateSensitivity
Indicates how strongly a system’s temperature responds to a change in external forcing, such as increased greenhouse gas concentrations.
-
D.
hasRadiatedEnergy
Indicates that an entity has emitted or released energy in the form of radiation.
-
E.
radiationLevel
Indicates the intensity or amount of radiation present in or emitted by an entity or environment.
- 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_69f7675b12848190a3569cfda29c5b0e |
completed | May 3, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69f762f4b59481909f70074f11825bfb |
completed | May 3, 2026, 3 p.m. |
Created at: April 29, 2026, 7:28 p.m.