Triple
T19374974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LPG |
E484641
|
entity |
| Predicate | relativeCO2Emissions |
P68089
|
FINISHED |
| Object | lower than coal and heating oil per unit energy |
—
|
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: lower than coal and heating oil per unit energy | Statement: [LPG, relativeCO2Emissions, lower than coal and heating oil per unit energy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relativeCO2Emissions Context triple: [LPG, relativeCO2Emissions, lower than coal and heating oil per unit energy]
-
A.
hasCarbonFootprintCategory
Indicates that an entity is associated with a specific classification of its carbon footprint level or impact.
-
B.
carbonDioxideLevel
Indicates the measured concentration or amount of carbon dioxide present in a given environment or system.
-
C.
emissionsComparedToPredecessor
chosen
Indicates how the emissions of an entity compare in magnitude (e.g., higher, lower, or equal) to those of its immediate predecessor.
-
D.
hasPersistentGasEmissions
Indicates that an entity continuously or repeatedly releases gaseous substances over an extended period.
-
E.
containsGreenhouseGas
Indicates that one entity includes or is composed of greenhouse gases within it.
- 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_69d8e8d460d88190abf0591c5c9d2b0c |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e61a5acc4481908fecfb57af16d037 |
completed | April 20, 2026, 12:21 p.m. |
| PD | Predicate disambiguation | batch_69e4fd54f8e48190956e73dd8969164a |
completed | April 19, 2026, 4:05 p.m. |
Created at: April 10, 2026, 1:35 p.m.