Triple
T30189536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RCP3-PD |
E767433
|
entity |
| Predicate | hasCO2Concentration |
P31410
|
FINISHED |
| Object | substantially lower than high-emission RCPs by 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: substantially lower than high-emission RCPs by 2100 | Statement: [RCP3-PD, hasCO2Concentration, substantially lower than high-emission RCPs by 2100]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCO2Concentration Context triple: [RCP3-PD, hasCO2Concentration, substantially lower than high-emission RCPs by 2100]
-
A.
carbonDioxideLevel
chosen
Indicates the measured concentration or amount of carbon dioxide present in a given environment or system.
-
B.
containsGreenhouseGas
Indicates that one entity includes or is composed of greenhouse gases within it.
-
C.
hasTypicalCarbonContentRange
Indicates the usual lower and upper bounds of carbon content typically found in or associated with an entity.
-
D.
hasCoordinateConcentration
Indicates that an entity has a specific concentration value associated with a particular spatial or coordinate location.
-
E.
hasPersistentGasEmissions
Indicates that an entity continuously or repeatedly releases gaseous substances over an extended period.
- 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_6a0119132e848190820a688d139fbf75 |
completed | May 10, 2026, 11:47 p.m. |
| PD | Predicate disambiguation | batch_6a01188dfdec8190b7f675264a281733 |
completed | May 10, 2026, 11:45 p.m. |
Created at: April 29, 2026, 7:28 p.m.